100+ datasets found
  1. m

    Visual Storytelling Dataset (VIST)

    • metatext.io
    json
    Updated Jul 5, 2026
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    Huang et al. (2026). Visual Storytelling Dataset (VIST) [Dataset]. http://identifiers.org/arxiv:1604.03968
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Jul 5, 2026
    Dataset authored and provided by
    Huang et al.
    Variables measured
    Multi-Modal Learning
    Description

    Dataset contains 81,743 unique photos in 20,211 sequences, aligned to descriptive and story language. VIST is previously known as "SIND", the Sequential Image Narrative Dataset (SIND).

  2. h

    StoryReasoning

    • huggingface.co
    Updated May 15, 2025
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    Daniel Oliveira (2025). StoryReasoning [Dataset]. https://huggingface.co/datasets/daniel3303/StoryReasoning
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    Dataset updated
    May 15, 2025
    Authors
    Daniel Oliveira
    License

    Attribution-NoDerivs 4.0 (CC BY-ND 4.0)https://creativecommons.org/licenses/by-nd/4.0/
    License information was derived automatically

    Description

    StoryReasoning Dataset

      Overview
    

    The StoryReasoning dataset is a collection of visual storytelling data designed to address limitations in maintaining consistent identity across multiple images while generating coherent narratives. It contains 4,178 cohesive stories derived from 52,016 images, organizing temporally connected image sequences extracted from the same movie scenes to ensure narrative coherence.

      Key Features
    

    Cross-Frame Consistency: Each story… See the full description on the dataset page: https://huggingface.co/datasets/daniel3303/StoryReasoning.

  3. F

    Semantic Image-Text-Classes

    • data.uni-hannover.de
    jsonl, partaa, partab +48
    Updated Jan 20, 2022
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    TIB (2022). Semantic Image-Text-Classes [Dataset]. https://data.uni-hannover.de/dataset/image-text-classes
    Explore at:
    partaq, partap, partar, partao, partbg, partba, partaz, partae, partak, tar, partbh, partbo, partbe, partal, partat, partbq, partag, partbd, partbu, partac, partaj, partaw, partbf, partah, partbv, partbb, partan, partau, partas, jsonl, partad, partay, partbt, partai, partam, partbj, partax, partbn, partbp, partav, partbs, partbm, partbk, partbr, partaf, partab, partbw, partbc, partbi, partbl, partaaAvailable download formats
    Dataset updated
    Jan 20, 2022
    Dataset authored and provided by
    TIB
    License

    Attribution-NonCommercial 3.0 (CC BY-NC 3.0)https://creativecommons.org/licenses/by-nc/3.0/
    License information was derived automatically

    Description

    This dataset is introduced by the paper "Understanding, Categorizing and Predicting Semantic Image-Text Relations".

    If you are using this dataset it in your work, please cite:

    @inproceedings{otto2019understanding,
    title={Understanding, Categorizing and Predicting Semantic Image-Text Relations},
    author={Otto, Christian and Springstein, Matthias and Anand, Avishek and Ewerth, Ralph},
    booktitle={In Proceedings of ACM International Conference on Multimedia Retrieval (ICMR 2019)},
    year={2019}
    }
    

    To create the full tar use the following command in the command line:

    cat train.tar.part* > train_concat.tar

    Then simply untar it via

    tar -xf train_concat.tar

    The jsonl files contain metadata of the following format:

    id, origin, CMI, SC, STAT, ITClass, text, tagged text, image_path

    License Information:

    This dataset is composed of various open access sources as described in the paper. We thank all the original authors for their work.

  4. Developing a 3D Workspace Environment as a Narrative Setting: Lighting and...

    • figshare.com
    zip
    Updated Jul 21, 2026
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    reyka chientia (2026). Developing a 3D Workspace Environment as a Narrative Setting: Lighting and Texturing Techniques to Enhance Mood and Visual Quality in the Animated Short Film Rue [Dataset]. http://doi.org/10.6084/m9.figshare.33050585.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 21, 2026
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    reyka chientia
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This study develops a 3D workspace environment as a visual narrative setting for the dialogue-free animated short film Rue. Although Rue already has a complete script, storyboard, and finished film, the workspace environment functions as a silent narrative device that must communicate mood and character context without spoken words or on-screen text. This research employs the Design and Development Research (D&D) method across three main stages: needs analysis, design, and development, concluding with a reflective review of the produced environment against the intended narrative and visual goals. The design stage produced a spatial layout for a study-like workspace furnished with bookshelves, a writing desk, and period-inspired props. Development was carried out in Blender, covering low- to mid-poly modeling, and physically based texturing, warm low-key lighting design anchored by a single candle light source, Eevee rendering, and compositing. This study contributes a documented production workflow for environment-focused visual storytelling, emphasizing lighting and texturing as the primary tools for mood construction, replicable by student and indie animation teams working under limited resources.

  5. Dataset_A Study on the Development of Character Gestures and Environmental...

    • figshare.com
    zip
    Updated Jul 21, 2026
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    Roni Kurniawan (2026). Dataset_A Study on the Development of Character Gestures and Environmental Atmosphere: Translating the Characteristics of Laziness into Visual Assets in the RUE Animation [Dataset]. http://doi.org/10.6084/m9.figshare.33049823.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 21, 2026
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Roni Kurniawan
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This study explores how an abstract psychological state post-traumatic laziness can be translated into 3D animation visual assets, using the character Averin from the "RUE" animation project. Applying the ADDIE development model, the research produced a character gesture sheet based on Laban Movement Analysis and two narrative environments designed through environmental storytelling principles, then validated them with six animation and visual-design experts. Results (mean score 4.04/5) show that combining apathetic gestures with a neglected, atmospheric environment effectively communicates laziness without dialogue, with color and lighting as the strongest visual cue and transformation consistency as the main area for improvement.

  6. h

    Data from: tubik

    • huggingface.co
    Updated Jul 1, 2024
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    Ozgun Genc (2024). tubik [Dataset]. https://huggingface.co/datasets/ozgung/tubik
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 1, 2024
    Authors
    Ozgun Genc
    License

    https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

    Description

    Illustrations by tubik.arts from https://www.behance.net/gallery/201500787/Character-Illustrations-for-Visual-Storytelling To be used for educational purposes. Original images are copyrighted.

  7. D

    Processing and understanding inferential techniques in visual narratives

    • dataverse.nl
    csv, html, pdf
    Updated Sep 1, 2022
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    Bien Klomberg; Bien Klomberg; Neil Cohn; Neil Cohn (2022). Processing and understanding inferential techniques in visual narratives [Dataset]. http://doi.org/10.34894/DTBW7M
    Explore at:
    html(202114), html(2453982), csv(71081), html(873894), html(631438), csv(55067), csv(13401), pdf(196077), html(122587), csv(31953), csv(156859), html(1982134), csv(81929), html(873101), csv(22279), html(768010), html(631434), csv(37240), html(1285743), csv(3931508), html(871995), csv(6064809), html(1336832), pdf(37415), csv(71254), html(749784)Available download formats
    Dataset updated
    Sep 1, 2022
    Dataset provided by
    DataverseNL
    Authors
    Bien Klomberg; Bien Klomberg; Neil Cohn; Neil Cohn
    License

    https://dataverse.nl/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.34894/DTBW7Mhttps://dataverse.nl/api/datasets/:persistentId/versions/2.1/customlicense?persistentId=doi:10.34894/DTBW7M

    Description

    This project examined the processing of bridging inferences in visual narratives, i.e. when readers need to infer information missing in a previous panel in a comic sequence. Rather than omitting the key event, this study replaced the climax of the scene with a variety of five inferential techniques, which implicitly express the unseen event while each balancing several underlying features that describe their informativeness. The main question asked to what extent the processing of these techniques differed. Two self-paced reading experiments measured viewing times as well as comprehensibility ratings; experiment 1 directly compared the five types and experiment 2 explored the effect of combining techniques. Additionally, this project explored the underlying features as predictors for viewing times and ratings.

  8. O

    Online Video Editor Market Report

    • datainsightsreports.com
    doc, pdf, ppt
    Updated Apr 20, 2026
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    Srinwanti Kar (2026). Online Video Editor Market Report [Dataset]. https://www.datainsightsreports.com/reports/online-video-editor-market-276006
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Apr 20, 2026
    Dataset provided by
    Data Insights Reports
    Authors
    Srinwanti Kar
    License

    https://www.datainsightsreports.com/privacy-policyhttps://www.datainsightsreports.com/privacy-policy

    Time period covered
    2026 - 2034
    Area covered
    Global
    Variables measured
    Market Size
    Description

    Explore the dynamic Online Video Editor Market, projected to reach $1.99 billion by 2025 with an 11.6% CAGR. Discover key drivers, trends, and growth opportunities in this rapidly expanding digital content landscape.

  9. g

    OpenCantieri Municipality of Lecce - visual narration | gimi9.com

    • gimi9.com
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    OpenCantieri Municipality of Lecce - visual narration | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_c_e506-opencantierivisuale/
    Explore at:
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Lecce, Lecce
    Description

    Using the open-source platform ‘Timeline’, the Municipal Authority wishes to show some public works made or in progress, from the point of view of a visual narrative over time. Progressively various construction sites will be inserted with photographs and videos, with short descriptions. The economic and personal data is already present in the dataset "OpenCantieri" This additional service is aimed at a temporal storytelling

  10. h

    OpenstoryPlusPlus

    • huggingface.co
    Updated Aug 7, 2024
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    MAPLE-WestLake-AIGC (2024). OpenstoryPlusPlus [Dataset]. https://huggingface.co/datasets/MAPLE-WestLake-AIGC/OpenstoryPlusPlus
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 7, 2024
    Dataset authored and provided by
    MAPLE-WestLake-AIGC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Openstory++: A Large-scale Dataset and Benchmark for Instance-aware Open-domain Visual Storytelling

    We introduce OpenStory++, a large-scale open-domain dataset contains focusing on enabling MLLMs to perform storytelling generation tasks.

      related resorcce
    

    paper: https://arxiv.org/abs/2408.03695 code: https://github.com/YeLuoSuiYou/openstorypp

      News
    

    2024/7/31 We have reorganized and distributed the high-quality subset and released most of the story data collected… See the full description on the dataset page: https://huggingface.co/datasets/MAPLE-WestLake-AIGC/OpenstoryPlusPlus.

  11. L

    Using visualisation techniques to acquire a better understanding of...

    • lore.list.lu
    Updated Jul 6, 2026
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    Paulo Carvalho; Olivier Parisot; Thomas Tamisier (2026). Using visualisation techniques to acquire a better understanding of storytelling for cultural heritage [* Cross-Reference *] [Dataset]. https://lore.list.lu/dataset.xhtml?persistentId=perma:LIST.VC8MSC
    Explore at:
    Dataset updated
    Jul 6, 2026
    Dataset provided by
    LIST Open Repository
    Authors
    Paulo Carvalho; Olivier Parisot; Thomas Tamisier
    License

    https://lore.list.lu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=perma:LIST.VC8MSChttps://lore.list.lu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=perma:LIST.VC8MSC

    Description

    Historical information has an important role regarding cultural heritage. It is used to interpret facts occurred in the past and also to understand the present. Storytelling, when applied in the narrative of true events and resulting from different personal views and anecdotal stories, act as an important source of historical information. In this paper, we discuss the problems we encounter in the field of historical information storytelling and we present a software architecture to facilitate the comprehension of stories. More precisely, the proposed solution helps to analyse a story, examine its composition identifying existing entity classes and computing possible relations with other stories, to finally build a visual representation of these stories. This entry has been automatically imported via Infodoc(ASO) CSV by LIST harvest scripts. Please refer to https://doi.org/10.5220/0006415801570164 for the original and latest version of the dataset and data downloads

  12. D

    Refiner processing in visual narrative grammar

    • dataverse.nl
    docx, ods, pdf, txt +2
    Updated Nov 8, 2023
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    Neil Cohn; Neil Cohn; Joost Schilperoord; Joost Schilperoord; Tom Foulsham; Tom Foulsham; Lincy Van Middelaar; Lincy Van Middelaar (2023). Refiner processing in visual narrative grammar [Dataset]. http://doi.org/10.34894/BVDLZX
    Explore at:
    txt(413934), xlsx(142715), type/x-r-syntax(6352), ods(186679), docx(25232), type/x-r-syntax(6022), xlsx(142352), pdf(181092), txt(3656009), ods(187537), pdf(316916)Available download formats
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    DataverseNL
    Authors
    Neil Cohn; Neil Cohn; Joost Schilperoord; Joost Schilperoord; Tom Foulsham; Tom Foulsham; Lincy Van Middelaar; Lincy Van Middelaar
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Linguistic syntax has often been claimed as uniquely complex due to features like anaphoric relations and distance dependencies. However, visual narratives of sequential images, like those in comics, have been argued to use sequencing mechanisms analogous to those in language. These narrative structures include “refiner” panels that “zoom in” on the contents of another panel. Similar to anaphora in language, refiners indexically connect inexplicit referential information in one unit (refiner, pronoun) to a more informative “antecedent” elsewhere in the discourse. Also like in language, refiners can follow their antecedents (anaphoric) or precede them (cataphoric), along with having either proximal or distant connections. We here explore the constraints on visual narrative refiners created by modulating these features of order and distance. Experiment 1 examined participants’ preferences for where refiners are placed in a sequence using a force-choice test, which revealed that refiners are preferred to follow their antecedents and have proximal distances from them. Experiment 2 then showed that distance dependencies lead to slower self-paced viewing times. Finally, measurements of event-related brain potentials (ERPs) in Experiment 3 revealed that these patterns evoke similar brain responses as those observed to referential dependencies in language (i.e., N400, LAN, Nref). Across all three studies, the constraints and (neuro)cognitive responses to refiners parallel those shown to anaphora in language, suggesting domain-general constraints on the sequencing of referential dependencies.

  13. G

    Lyric Video Tools Market Research Report 2033

    • growthmarketreports.com
    csv, pdf, pptx
    Updated Aug 22, 2025
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    Growth Market Reports (2025). Lyric Video Tools Market Research Report 2033 [Dataset]. https://growthmarketreports.com/report/lyric-video-tools-market
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Aug 22, 2025
    Dataset authored and provided by
    Growth Market Reports
    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Lyric Video Tools Market Outlook




    According to our latest research, the global lyric video tools market size reached USD 310 million in 2024, with a robust year-on-year growth driven by the surging demand for engaging digital content across the music and entertainment industries. The market is forecasted to expand at a CAGR of 14.2% from 2025 to 2033, resulting in a projected market size of USD 927 million by 2033. This remarkable growth trajectory is primarily fueled by the proliferation of digital music consumption, the increasing importance of visual storytelling in content marketing, and the growing adoption of video content creation tools by both professionals and amateurs worldwide.




    One of the primary growth factors for the lyric video tools market is the exponential rise in music streaming platforms and social media engagement. As artists and record labels seek innovative ways to promote singles and albums, lyric videos have become an essential component of marketing strategies. These tools enable the rapid creation of visually compelling lyric videos that can be shared across multiple platforms, including YouTube, Instagram, and TikTok, significantly increasing audience reach and engagement. Furthermore, the democratization of music production, where independent artists and small studios have access to affordable and user-friendly video creation software, has further accelerated the adoption of lyric video tools globally.




    Technological advancements in artificial intelligence (AI) and machine learning (ML) are also playing a pivotal role in shaping the lyric video tools market. AI-powered features such as automated lyric synchronization, real-time visual effects, and customizable templates are making it easier for users to produce professional-grade videos with minimal technical expertise. This has expanded the user base beyond traditional music producers to include content creators, educators, and influencers. Additionally, the integration of cloud-based platforms has facilitated collaborative workflows, enabling teams to work remotely and streamline the video production process, which is particularly relevant in the post-pandemic digital landscape.




    The surge in demand for e-learning and educational content has opened new avenues for the lyric video tools market. Educational institutions and online learning platforms are increasingly leveraging lyric videos to enhance language learning, literacy, and engagement in virtual classrooms. By transforming traditional text-based content into interactive and visually appealing formats, lyric video tools are helping educators capture students’ attention and improve retention rates. This trend is expected to gain further traction as remote and hybrid learning models become more prevalent, driving sustained demand for innovative content creation solutions in the education sector.




    From a regional perspective, North America currently dominates the lyric video tools market, accounting for the largest revenue share in 2024, followed closely by Europe and Asia Pacific. The high concentration of music studios, digital content creators, and technology companies in the United States and Canada has fostered a vibrant ecosystem for lyric video production. Meanwhile, rapid digitalization, increasing internet penetration, and the growing popularity of K-pop and regional music genres are propelling market growth in Asia Pacific. Latin America and the Middle East & Africa are also witnessing steady adoption, driven by rising smartphone usage and the expansion of online streaming services. As these regions continue to embrace digital content creation, the global lyric video tools market is poised for sustained growth and diversification.





    Component Analysis




    The lyric video tools market by component is segmented into software and services, with software leading the segment due to its direct application in content creation. Software solutions encompass a wide range of functionalities,

  14. Data from: Acute stress impairs visual narrative comprehension in younger...

    • osf.io
    Updated Oct 1, 2024
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    Ekaterina Varkentin; Irina Brich; Kurmanzhan Kurmanbekova; Markus Huff (2024). Acute stress impairs visual narrative comprehension in younger but not older adults [Dataset]. http://doi.org/10.31234/osf.io/2bvms
    Explore at:
    Dataset updated
    Oct 1, 2024
    Dataset provided by
    Center for Open Sciencehttps://cos.io/
    Authors
    Ekaterina Varkentin; Irina Brich; Kurmanzhan Kurmanbekova; Markus Huff
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Visual narrative comprehension is essential for navigating modern society, where information, rules, and news are frequently communicated through images, diagrams, and visual stories. Encoding a coherent narrative from disparate elements is critical for all age groups. Although recent data indicate that stress levels have risen compared to previous decades, the impact of stress on visual narrative comprehension remains underexplored. This study explored how acute stress affects narrative comprehension in younger (N = 203, 18-57 years; M = 23 years; Experiment 1) and older adults (N = 212, 60-85 years; M = 67 years; Experiment 2). Participants were assessed under both acute stress and neutral conditions. A tool for inducing acute stress online employed mathematical and logical tasks under time pressure, along with elements that simulate social stress. Participants were presented with pictorial stories comprising three panels, where the second panel was intentionally left blank. Their task was to comprehend the stories and determine whether the presented pictorial inference for the missing event was correct or incorrect. Results revealed that acute stress negatively impacted narrative comprehension in younger adults, while the older adults' comprehension remained unaffected by acute stress. Similarly, younger adults demonstrated reduced confidence in their responses under stress, whereas older adults’ confidence levels remained unaffected. These findings highlight the relationship between visual narrative comprehension, stress, and aging, suggesting that, with age and experience, comprehenders may develop more differentiated event schemas, which makes their comprehension processes more resilient to stress.

    Public Significance Statement: Understanding how cognitive and perceptional processes function under stress is crucial for daily life across all age groups. Our research demonstrates that acute stress leads to a decline in visual narrative comprehension only in younger adults, while older adults' narrative comprehension remains stable despite stress. This finding suggests that older adults may employ more effective coping mechanisms, which helps maintain their cognitive stability in the face of stress. Consequently, narrative comprehension appears to be more resilient compared to other fundamental cognitive skills. These insights could inform interventions and strategies to support cognitive health across different age groups.

  15. v

    Global And North America Animation Market Size By Product Type (3D...

    • verifiedmarketresearch.com
    Updated Dec 30, 2025
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    VERIFIED MARKET RESEARCH (2025). Global And North America Animation Market Size By Product Type (3D Animation, 2D Animation), By Age Group (Teenagers (Ages 13-19), Children (Ages 8-12)), By Application (Films, Television And Streaming), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/global-and-north-america-animation-market/
    Explore at:
    Dataset updated
    Dec 30, 2025
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2025 - 2032
    Area covered
    North America
    Description

    Global And North America Animation Market size was valued at USD 413.84 Billion in 2024 and is projected to reach USD 702.1 Billion by 2032, growing at a CAGR of 6.83% from 2025 to 2032.Animation is a technique that involves creating the illusion of motion by displaying a series of static images in rapid succession. These images, called frames, are designed to progress smoothly from one to the next, creating the perception of movement. Animation can be achieved through various methods, including traditional hand-drawn techniques, computer-generated imagery (CGI), stop motion, and more. The purpose of animation spans a wide range of applications, including entertainment, education, advertising, simulation, and visual storytelling. In entertainment, animation is widely used in films, television shows, video games, and online content to captivate audiences and convey narratives in visually compelling ways.

  16. q

    Using Current Events to Teach Written, Visual, and Oral Science...

    • qubeshub.org
    Updated Aug 30, 2021
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    Emily Lescak; Katharine Kelsey* (2021). Using Current Events to Teach Written, Visual, and Oral Science Communication [Dataset]. http://doi.org/10.24918/cs.2021.15
    Explore at:
    Dataset updated
    Aug 30, 2021
    Dataset provided by
    QUBES
    Authors
    Emily Lescak; Katharine Kelsey*
    Description

    Science, technology, engineering and mathematics (STEM) professionals need the skills to communicate with both technical and public audiences, but formal training in these skills is often lacking. In the nine-hour unit presented here, students learn to recognize the value of science communication, explore the process of distilling and translating scientific information for general audiences, and produce written, visual, and auditory science communication products in a collaborative setting. Undergraduate education is an ideal time to set the foundation for best practices in science communication, because as students move through their undergraduate careers, they become subject matter experts in scientific topics that are pertinent to many aspects of daily life. In this unit, students use locally-relevant current events as a focal point for exploring the significance and techniques of effective science communication. Further, students explore connections between their backgrounds and current scientific developments, explore and share their interests and experiences in STEM, articulate their educational goals, and advocate for themselves. By the end of the unit, students will produce three science communication products (written, visual, and auditory) on a locally-relevant event of their choosing. This unit provides students with an opportunity to practice science communication and engage in self-reflection on the influence of science on their daily lives and their interests and goals as young scientists.

    Primary image: Science communication in Anchorage, Alaska. Photo credit: K.C. Kelsey. This image is not copyrighted.

  17. w

    Global Brand Video Production Service Market Research Report: By Service...

    • wiseguyreports.com
    Updated Jun 29, 2026
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    WiseGuy Research Consultants Pvt Ltd (2026). Global Brand Video Production Service Market Research Report: By Service Type (Corporate Videos, Promotional Videos, Social Media Videos, Training Videos), By Video Format (2D Animation, 3D Animation, Live Action, Motion Graphics), By Industry Verticals (Healthcare, Retail, Technology, Education, Hospitality), By Production Scale (Small Scale, Medium Scale, Large Scale) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) | Includes: Vendor Assessment, Technology Impact Analysis, Partner Ecosystem Mapping & Competitive Index - Forecast to 2035 [Dataset]. https://www.wiseguyreports.com/reports/brand-video-production-service-market
    Explore at:
    Dataset updated
    Jun 29, 2026
    Dataset authored and provided by
    WiseGuy Research Consultants Pvt Ltd
    License

    https://www.wiseguyreports.com/pages/privacy-policyhttps://www.wiseguyreports.com/pages/privacy-policy

    Time period covered
    2026 - 2035
    Area covered
    Global
    Variables measured
    CAGR, Base Year, Market Size, Key Companies, Delivery Format, Forecast Period, Regions Covered, Segments Covered, Historical Period, Forecast Market Size
    Description

    The Brand Video Production Service Market was valued at USD 7.54 Billion in 2025 and is projected to grow to USD 12.8 Billion by 2035, at a CAGR of 5.4%. Brand Video Production Service Market Overview: The Brand Video Production Service Market Size was valued at 7.15 USD Billion in 2024. The Brand Video Production Service Market is expected to grow from 7.54 USD Billion in 2025 to 12.8 USD Billion by 2035. The Brand Video Production Service Market CAGR (growth rate) is expected to be around 5.4% during the forecast period (2025 - 2035). Key Brand Video Production Service Market Trends Highlighted The Global Brand Video Production Service Market is experiencing significant growth driven by the increasing demand for video content across various platforms. This demand has been fueled by the rise in digital marketing strategies that utilize visual storytelling to communicate brand messages effectively. Social media platforms have become vital channels where brands share visual content, creating an imperative for high-quality video production services. Companies are increasingly recognizing the importance of engaging their audiences visually, which has become a key market driver. Furthermore, there are ample opportunities to be explored through advancements in technology, such as affordable video production tools and the rise of virtual and augmented reality.These technologies enable brands to create more immersive experiences that resonate with consumers. The growing accessibility to skilled videographers and production studios worldwide also facilitates the growth of this market, allowing brands to tap into diverse creative talents to enhance their storytelling efforts. In recent times, trends indicate a shift towards shorter video formats, as audiences prefer quick and engaging content. This aligns with changes in consumer behavior where attention spans are decreasing, making it crucial for brands to produce concise and impactful videos. As businesses adapt to these evolving preferences, storytelling through mobile-first strategies is becoming increasingly popular.Additionally, the influx of user-generated content creates a collaborative environment for brands, enabling them to leverage authentic narratives. This marks a pivotal moment in the brand video production space, highlighting the transformation in how brands connect with their audiences globally. Overall, this market's momentum is expected to continue growing, driven by these emerging trends and innovations. Source: Primary Research, Secondary Research, WGR Database and Analyst Review Brand Video Production Service Market Segment Insights: Brand Video Production Service Market Regional Insights The Regional segmentation of the Global Brand Video Production Service Market showcases significant growth patterns across different areas. North America dominates this segment with a valuation of 2,500 USD Million in 2024, expected to increase to 4,300 USD Million by 2035, reflecting its majority holding in the market. The region's advanced technology infrastructure and high demand for innovative marketing strategies contribute to its leading position. Europe exhibits a steady expansion, focusing on creative storytelling and high production quality, thereby strengthening its market presence.The Asia-Pacific (APAC) region is experiencing strong growth, as local brands increasingly embrace video marketing to enhance their brand identity. South America shows a moderate increase, with businesses slowly realizing the potential of video content in their marketing strategies. Lastly, the Middle East and Africa (MEA) region displays a gradual decline; however, there are untapped opportunities as digital transformation accelerates in these markets. Overall, the evolving nature of consumer engagement and technological advancements are key drivers supporting the expansion of the Global Brand Video Production Service Market across various regions. Source: Primary Research, Secondary Research, WGR Database and Analyst Review North America : In North America, the brand video production service market is driven by the rapid integration of AIoT

  18. s

    r/pics Stats & Analytics

    • subranking.com
    Updated Jul 19, 2026
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    RedditList (2026). r/pics Stats & Analytics [Dataset]. https://subranking.com/subreddit/pics
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    Dataset updated
    Jul 19, 2026
    Dataset authored and provided by
    RedditList
    Description

    r/pics functions as one of Reddit's largest and most enduring hubs for visual content, characterized by exceptional engagement. With a membership exceeding 33 million, the subreddit consistently achieves an average of over 16,000 upvotes and approximately 1,170 comments per post, reflecting its significant scale and active discussion. Peak activity typically occurs Saturday evenings (7 pm - 9 pm UTC), aligning with global leisure hours. Founded explicitly as a venue for "photographs, pictures, and other images," it distinguishes itself through a strong emphasis on authentic, non-meme photography and user-submitted visuals, enforced by strict moderation policies that prohibit low-effort content, comics, and heavily edited images.

    The community culture centers on appreciation for genuine visual storytelling and historical documentation. Common posts include user-taken photographs spanning landscapes, portraits, and candid moments, alongside historically significant images, news-related photography, and occasionally viral visual phenomena. While largely positive and supportive, discussions frequently delve into the context, technical aspects, or emotional resonance of the images, fostering a space where photography is both shared and critically engaged with. The high comment volume often stems from users sharing personal connections to the depicted scenes, historical insights, or respectful critiques, elevating the discourse beyond simple upvoting. This focus on substantive imagery and discussion, rather than fleeting internet humor, provides a distinct contrast to many other large image-focused subreddits.

    r/pics stands out due to its successful maintenance of content quality and discussion depth despite its massive size. It functions as a significant, crowd-sourced visual archive where noteworthy photography – from amateur snapshots to professional work – gains visibility and contextual exploration. The ideal subscriber is anyone with an interest in photography, visual journalism, or historical imagery, whether they actively contribute original photos or prefer to lurk and consume the curated stream. It particularly appeals to those seeking a more thoughtful visual experience compared to meme-centric forums, offering a reliable source for discovering impactful, authentic images accompanied by meaningful community commentary. The combination of scale, strict adherence to photographic content, and sustained high engagement makes it a cornerstone destination for visual content on Reddit.

  19. i

    Apex - An Enterprise Services Bootstrapped Company Based Out Of New Delhi

    • inc42.com
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    Inc42 Datalabs, Apex - An Enterprise Services Bootstrapped Company Based Out Of New Delhi [Dataset]. https://inc42.com/company/apex-1/
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    Dataset provided by
    Inc42
    Authors
    Inc42 Datalabs
    Area covered
    New Delhi
    Description

    Founded in 2010, Apex operates in Enterprise Services offering an agency focused on designs and narratives that enhance experiences, content, and visuals. The company provides a breadth of expertise and capabilities to brands, positioning them centrally to connect more effectively with their audience. Apex employs a team of experts dedicated to crafting meaningful interactions that resonate with consumers. The objective is to deepen brand engagement through tailored visual storytelling.

  20. h

    comic_books

    • huggingface.co
    Updated Sep 29, 2024
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    walliyani (2024). comic_books [Dataset]. https://huggingface.co/datasets/sadafwalliyani/comic_books
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 29, 2024
    Authors
    walliyani
    Description

    Dataset Card for Comic Books Dataset

    This dataset contains metadata and scripts from various comic books, focusing on the Red Origins series. The dataset provides information on creators, publication year, ISBNs, language, country of origin, character details, and more. It is useful for tasks such as text classification and entity recognition, particularly in the context of comic books and visual storytelling.

      Dataset Details
    
    
    
    
    
    
    
      Dataset Description
    

    The… See the full description on the dataset page: https://huggingface.co/datasets/sadafwalliyani/comic_books.

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Huang et al. (2026). Visual Storytelling Dataset (VIST) [Dataset]. http://identifiers.org/arxiv:1604.03968

Visual Storytelling Dataset (VIST)

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9 scholarly articles cite this dataset (View in Google Scholar)
jsonAvailable download formats
Dataset updated
Jul 5, 2026
Dataset authored and provided by
Huang et al.
Variables measured
Multi-Modal Learning
Description

Dataset contains 81,743 unique photos in 20,211 sequences, aligned to descriptive and story language. VIST is previously known as "SIND", the Sequential Image Narrative Dataset (SIND).

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