We introduce the first dataset for sequential vision-to-language, and explore how this data may be used for the task of visual storytelling. The dataset includes 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).

This directory contains the necessary files for the Artistic Visual Storytelling task. For a short dataset description, please, read the README.md.

Import note: The Artistic Visual Storytelling dataset can be used only for non-commercial academic research purposes.

If you use this dataset, please cite it as below:

Efthymiou, A.; Rudinac, S.; Kackovic, M.; Worring, M.; Wijnberg, N.M. (2023): Artistic Visual Storytelling. University of Amsterdam / Amsterdam University of Applied Sciences. Dataset. https://doi.org/10.21942/uva.20050970.v2

Video Storytelling is a dataset for generating text story/summarization for videos containing social events. It consists of 105 videos from four categories: birthday, camping, Christmas and wedding. For each video, we provide at least 5 human-written stories.

• Videos are contained in the .tar file with their corresponding category name.
• Text stories are contained in Text.tar.
• In each txt file, the first line is the video id. The start and end time (in seconds) of each sentence is also given.
• test_id.txt provides the id for videos in the test set

Please cite the following paper if you use the Video Storytelling dataset in your work (papers, articles, reports, books, software, etc):

• Video Storytelling: Textual Summaries for Events. J. Li, Y. Wong, Q.Zhao, M. Kankanhalli. IEEE Transactions on Multimedia.

This version of the Bloom Library data is developed specifically for the Visual Story Telling (VIST) task. It includes data from 363 languages across 36 language families, with many of the languages represented being extremely low resourced languages.

Story maps have emerged as a popular storytelling device in recent years with cartographers and journalists leveraging geospatial web technologies to create unique spatial narratives. However, empirical research analyzing the design of story maps remains limited. Two recently proposed design frameworks provide promising avenues to characterize story maps in terms of elements of vivid cartography and techniques of map-based storytelling. In this article, I conducted a quantitative content analysis on 117 story maps of COVID-19 to operationalize map-based storytelling and vividness frameworks and to identify common design traits in contemporary story maps. My findings indicated that most story maps are longform infographics that use scrolling to advance the narrative. Stories applied a variety of attention, dosing, and mood techniques to enrich the storytelling experience. Story maps were primarily vivid through their use of color and novelty. Overall, most story maps utilized only a fraction of the map-based storytelling framework techniques. This research also demonstrated that it is challenging to analyze story maps based on these frameworks. Finally, this article improves the frameworks by proposing two new story map techniques and suggesting avenues of refinement.

Visual and digital storytelling methods can reposition research participants as coproducers of knowledge, foster engagement and collaboration with marginalized peoples, and offer greater depth of self-expression. However, these methods are constituted in complex terrains of power. Without continual attenuation to power imbalances, the methods will contribute to the silencing and erasure of marginalized communities. This study outlines how reflexivity as a methodological tool and part of the Cultured-Centered Approach can enable the interrogation of terrains of power, allowing for the continual opening of democratic possibilities and community ownership of visual and digital storytelling infrastructures. Excerpts from the “Poverty Is Not Our Future” campaign illustrate the argument. The campaign's cocreated audio-visual advertisements communicate everyday stories of poverty among residents living in a poor suburban site in Auckland, Aotearoa New Zealand, and serve as a visual narrative of resistance to dominant structures. This study contributes to critical theorizing of culture and communication and the coconstruction of visual stories.

Supporting data for the article "The Illustrated Page: Analyzing Illustrations of Historical Children’s Books Using Citizen Science" (CHR 2025)

Smart Storytelling Device Market Outlook 2025-2034

The global smart storytelling device market was valued at $4.2 billion in 2025 and is projected to reach $10.8 billion by 2034, expanding at a compound annual growth rate (CAGR) of 11.1% during the forecast period from 2026 to 2034. Smart storytelling devices encompass a broad spectrum of technology-enabled products including AI-driven audio companions, augmented-reality (AR) picture books, voice-activated interactive readers, and multisensory narrative platforms designed for children, adults, and elderly users across education, entertainment, and healthcare settings. The market is driven by converging trends: an accelerating shift toward experiential and personalized learning, the rapid integration of natural language processing (NLP) and machine learning algorithms into consumer electronics, heightened parental awareness of screen-time management, and a post-pandemic surge in at-home educational technology adoption. In 2025, over 320 million households globally reported using some form of interactive learning or storytelling device for children aged 2 to 12 years, underscoring the enormous addressable market. The proliferation of affordable broadband connectivity and the rollout of 5G networks in key markets have further enabled cloud-based content delivery, allowing devices to access near-unlimited narrative libraries without on-device storage constraints. Governments in markets such as the United States, Germany, Japan, South Korea, and India have introduced digital literacy initiatives and early childhood education mandates that explicitly include smart device integration, creating a favorable regulatory environment. Additionally, the growing prevalence of e-commerce platforms has dramatically lowered the barrier to market entry for emerging brands while simultaneously expanding consumer reach for established players such as LeapFrog, VTech, and Luka Inc. The convergence of physical and digital storytelling formats, exemplified by near-field communication (NFC)-enabled figurines paired with narrative apps, has opened new product innovation corridors that are expected to sustain double-digit revenue growth throughout the forecast period.

Comprehensive analysis and strategic guide for mortgage lending professionals seeking to implement advanced content marketing strategies in 2025. This dataset provides detailed insights into video marketing, interactive content, visual storytelling, and specialized SEO techniques specifically tailored for the mortgage industry. The content addresses the evolution from generic blog posts to personalized, engaging content that builds trust with modern borrowers who expect authentic, helpful guidance through their home-buying journey.

Visual Content Market Outlook

According to our latest research, the global visual content market size reached USD 66.2 billion in 2024, reflecting robust expansion driven by the growing digital ecosystem and the rising adoption of visual storytelling across industries. The market is registering a strong CAGR of 9.8% and is forecasted to reach USD 147.2 billion by 2033. This impressive growth trajectory is primarily propelled by the increasing demand for engaging, high-quality visual content in marketing, education, entertainment, and e-commerce, as organizations and individuals alike recognize the unparalleled impact of visuals in capturing attention and conveying information efficiently.

One of the most significant growth factors in the visual content market is the surging adoption of digital marketing strategies across diverse industries. Brands and businesses are increasingly leveraging visual content such as images, videos, infographics, and animations to enhance their digital presence, improve brand recall, and boost customer engagement. The proliferation of social media platforms like Instagram, TikTok, and YouTube has further intensified the need for visually appealing content, as these platforms prioritize visuals in their algorithms and user experiences. Moreover, the shift towards mobile-first content consumption has made bite-sized, visually rich formats such as GIFs and short videos indispensable for marketers aiming to capture and retain the fleeting attention of modern consumers. This trend is expected to continue driving the demand for visual content, as organizations seek innovative ways to differentiate themselves in a crowded digital landscape.

Another critical driver for the visual content market is the rapid advancement in content creation technologies, including artificial intelligence (AI), machine learning, and augmented reality (AR). These technologies have democratized the creation of high-quality visual assets, enabling even small businesses and individual content creators to produce professional-grade visuals without extensive technical expertise or large budgets. AI-powered tools can now automate tasks such as image enhancement, video editing, and content personalization, significantly reducing production times and costs. Additionally, the integration of AR and interactive visuals is opening new avenues for immersive storytelling, particularly in sectors like education, entertainment, and e-commerce. As these technologies continue to evolve, they are expected to further accelerate the adoption of visual content across a broader range of applications and end-users.

The increasing importance of data-driven decision-making is also fueling the growth of the visual content market. Organizations are leveraging visual analytics and infographics to simplify complex data sets and facilitate more effective communication of insights to stakeholders. Infographics and data visualizations have become essential tools for businesses, educators, and media organizations seeking to present information in a clear, compelling, and easily digestible manner. This trend is particularly pronounced in sectors such as publishing, finance, and healthcare, where the ability to quickly interpret and act on data is critical. As the volume and complexity of data continue to grow, the demand for visually intuitive content formats is expected to rise correspondingly, further boosting the market.

In the travel industry, Visual Content Management for Travel has become a vital component for engaging potential travelers and enhancing their experience. With the rise of digital platforms, travel agencies and tourism boards are leveraging visual content to showcase destinations, accommodations, and experiences in a more immersive way. High-quality images and videos allow potential travelers to visualize their trips, making it easier for them to plan and book their journeys. This trend is supported by the increasing use of social media platforms where travelers share their experiences, further promoting destinations through user-generated content. As a result, visual content management is not only enhancing customer engagement but also driving growth in the travel sector by providing a more personalized and interactive experience.

From a regional perspective, North America currently dominates the visual content market, a

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Discover the booming digital visual content market! This in-depth analysis reveals key trends, growth projections (CAGR), major players (Shutterstock, Getty Images, Adobe), and regional insights from 2019-2033. Learn about the driving forces and challenges shaping this multi-billion dollar industry.

This dataset includes responses from 51 students who participated in a survey evaluating a short film used in Computer Science education, that portrayed three algorithmic approaches: ad-hoc, greedy, and dynamic programming. Using a 7-point Likert scale (-3 to 3), students rated statements about the film's characteristics and potential benefits. The questionnaire aimed to thoroughly capture students' perspectives on the film's attributes and educational impact.Items used in the survey.EF.Entertainment - The short film provided a high entertainment value.EF.ProductionValue - The short film had a high production value.EF.Premise - The premise (escape room) was intriguing.EF.Expressive - The short film was expressive.EF.Immersive - The short film was immersive.EF.Creative - The short film was creative.EF.Pacing The pacing of the story was appropriate.FA.Story-plot - I appreciate as important the presence of the story-plot.FA.LiveAction - I appreciate as important the use of live-action performances.FA.CameraWork - I appreciate as important the cut and switch of camera angles.FA.Atmosphere - I appreciate as important the mood and atmosphere.FA.Choreography - I appreciate as important the choreography.FA.Cinematography - I appreciate as important the depicted cinematography.FA.NonVerbal - I appreciate as important the facial expressions, body language of the actors.FA.SoundDesign I appreciate as important the sound design, narration and sound effects present.CB.Educational. The short film provided a high educational value.CB.Understanding The learning experience deepened my understanding of the subject.CB.Clarity The algorithmic strategies were clearly depicted.EB.Attention - The movie engaged my attention.EB.Curiosity - The movie engaged my curiosity.PU.Quicker - Using such short films during a class would enable me to learn and deepen algorithmic concepts more quickly.PU.Performance - Using such short films during a class would improve my learning performance and grades.PU.Efficiency - Using such short films could help me get the most out of my time while learning.PU.Knowledge - Using such short films may improve my knowledge.PU.Easier - Using such short films would make it easier to accomplish my learning tasks.PU.Overall Using such short films would be overall beneficial.PE.Enjoyable - The learning experience was enjoyable.PE.Exciting - The learning experience was exciting.PE.Pleasant - The learning experience was pleasant.PE.Interesting - The learning experience was interesting.PE.Immersive - The learning experience was immersive.C.Changes - The use of such short films may imply major changes in how I learn.C.Incorporation - It would be easy to incorporate such short films in my learning process.A.Worthwhile - Using similar educational short films to learn algorithmic concepts is a good idea.A.Positivity - I am positive towards using visual media to better understand algorithmic concepts.A.Appreciate - I would appreciate the availabilty of similar short films as learning instuments.A.WouldUse - If available, I would use such short films in my learning process.Eval.Use - I often use/used existing AlgoRythmics videos in my learning process.Eval.Comp - Overall, the short film approach (story-line, live-acting etc.) provides a richer and more valuable learning experience than the viewing of simple videos or animations.

AI-Driven Storyboarding Market Outlook

According to our latest research, the global AI-Driven Storyboarding market size reached USD 1.42 billion in 2024, with a robust compound annual growth rate (CAGR) of 22.7% expected from 2025 to 2033. By the end of 2033, the market is forecasted to achieve a value of USD 10.15 billion. This remarkable growth trajectory is primarily attributed to the rapid adoption of artificial intelligence technologies across creative industries, which are seeking enhanced efficiency, scalability, and creativity in visual storytelling processes.

One of the primary growth factors for the AI-Driven Storyboarding market is the increasing demand for automation and digitization in the media and entertainment sector. As content creation cycles accelerate and consumer appetite for high-quality, visually engaging stories intensifies, production studios and advertising agencies are leveraging AI-powered solutions to streamline pre-visualization, scene planning, and narrative development. AI-driven storyboarding tools are capable of generating multiple visual concepts, automating repetitive design tasks, and facilitating seamless collaboration among creative teams. This not only reduces production time and costs but also significantly enhances creative output by allowing artists and writers to focus on ideation and storytelling rather than manual sketching and editing.

Another significant driver is the expanding application of AI-driven storyboarding beyond traditional film and animation. Industries such as gaming, advertising, and education are increasingly recognizing the value of AI-powered visual planning tools. In the gaming sector, for example, AI-assisted storyboarding enables rapid prototyping of game narratives and character arcs, while in advertising, agencies use these tools to visualize campaign concepts and deliver compelling pitches to clients. The education sector is also embracing AI-driven storyboarding to develop interactive learning materials and enhance student engagement. This broadening scope of applications is creating new revenue streams and fueling sustained market growth.

Technological advancements in AI, particularly in machine learning, natural language processing, and computer vision, are further propelling the growth of the AI-Driven Storyboarding market. Modern AI algorithms can analyze scripts, generate relevant visual frames, and even suggest creative alternatives based on historical data and user preferences. The integration of cloud computing and collaborative platforms allows geographically dispersed teams to work together seamlessly, driving efficiency and innovation. As AI models continue to evolve, their ability to understand context, emotion, and visual aesthetics will only deepen, making AI-driven storyboarding indispensable for creative professionals worldwide.

From a regional perspective, North America currently holds the largest share of the AI-Driven Storyboarding market, driven by the presence of leading technology companies, established media and entertainment industries, and high adoption rates of AI solutions. However, Asia Pacific is emerging as a high-growth region, fueled by increasing investments in digital media infrastructure, a burgeoning gaming sector, and a rapidly growing pool of creative talent. Europe also presents significant opportunities, particularly in the advertising and film production sectors, where regulatory support for digital innovation is strong. Latin America and the Middle East & Africa are gradually catching up, with local startups and educational institutions beginning to explore AI-driven storyboarding for both commercial and academic purposes.

Component Analysis

The Component segment of the AI-Driven Storyboarding market is bifurcated into Software and Services, each playing a critical role in shaping the industry landscape. Software solutions constitute the backbone of this market, offering intuitive interfaces, advanced AI algorithms, and seamless integration with other creat

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Visual storytelling engagement reaching 7.2% for Turkish travel influencers.

In visual narratives like comics, the most overt form of perspective-taking comes in panels that directly depict the viewpoints of characters in the scene. We therefore examined these subjective viewpoint panels (also known as point-of-view panels) in a corpus of over 300 annotated comics from Asia, Europe, and the United States. In line with predictions that Japanese manga use a more “subjective” storytelling style than other comics, we found that more manga use subjective panels than other comics, with high proportions of subjective panels also found in Chinese, French, and American comics. In addition, panels with more “focal” framing, i.e. micro panels showing close ups and/or amorphic panels showing views of the environment, had higher proportions of subjective panels than panels showing wider views of scenes. These findings further show that empirical corpus analyses provide evidence of cross-cultural variation and reveal relationships across structures in the visual languages of comics.

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. Pitt Image Ads Dataset: http://people.cs.pitt.edu/~kovashka/ads/ Image-Net challenge: http://image-net.org/ Visual Storytelling Dataset (VIST): http://visionandlanguage.net/VIST/ Wikipedia: https://www.wikipedia.org/ Microsoft COCO: http://cocodataset.org/#home