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).

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.

Account activity data for Catrine Svellingen | Visual Storytelling & Creative Direction on Instagram, covering posting frequency and recent engagement trends.

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

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.

Social behavioral traits and content style persona of Catrine Svellingen | Visual Storytelling & Creative Direction on Instagram. Available to registered users.

Performance metrics and trend analysis of recent viral content and high-performing posts by Catrine Svellingen | Visual Storytelling & Creative Direction on Instagram.

This study investigates how storytelling strategies, particularly visual elements, platform-specific narratives, and authentic brand messages, influence consumer engagement and brand awareness. Employing a mixed-methods design, the research emphasizes quantitative data gathered through online questionnaires distributed via Google Forms. This approach allows for standardized responses from a diverse participant pool and facilitates the use of descriptive and inferential statistical methods to analyze the impact of storytelling on consumer engagement and brand awareness. Supplementary qualitative interviews provide additional context and depth. Key findings reveal that visually compelling storytelling increases consumer engagement, though clear visuals alone do not substantially enhance brand recall, suggesting that certain dimensions of visual storytelling are more influential than others. Moreover, digital media platforms significantly moderate the effectiveness of storytelling, indicating that tailoring narratives to platform-specific features amplifies consumer interaction. A positive, albeit not strong, correlation between narrative strategies and consumer trust suggests that real-life success stories and testimonials are beneficial in fostering credibility for both established and emerging brands. These results underscore the importance of integrating emotionally resonant content, creative storytelling approaches, and transparent communication to strengthen engagement and trust. By refining visual elements, leveraging platform-specific strategies, and adopting trust-building narratives, brands can more effectively captivate consumers and amplify their market presence. Keywords: Brand Storytelling, Consumer Engagement, Brand Awareness, Narrative Strategies, Visual Storytelling and Consumer Behavior.

Storyboard Generation AI Market Outlook

According to our latest research, the global Storyboard Generation AI market size reached USD 1.12 billion in 2024 and is projected to grow at a robust CAGR of 19.8% during the forecast period, reaching USD 6.65 billion by 2033. This impressive growth trajectory is driven by the rapid adoption of artificial intelligence technologies across creative industries, the increasing demand for automated content creation, and the growing utilization of AI-powered solutions to streamline pre-production processes in media, advertising, education, and corporate training sectors.

One of the primary growth factors for the Storyboard Generation AI market is the escalating need for efficiency and cost reduction in content creation workflows. Traditionally, storyboard generation has been a labor-intensive and time-consuming process, often requiring skilled artists and significant manual effort. The integration of AI-powered storyboard generation tools is transforming this landscape by automating key aspects such as scene visualization, character placement, and narrative flow. These AI solutions not only accelerate the pre-production phase but also minimize errors, reduce operational costs, and enable creative teams to iterate faster. As the demand for high-quality visual storytelling continues to surge in sectors like film, gaming, and advertising, organizations are increasingly turning to AI-driven storyboard solutions to maintain a competitive edge.

Another significant driver propelling the growth of the Storyboard Generation AI market is the proliferation of digital content platforms and the democratization of storytelling. With the rise of streaming services, digital advertising, e-learning, and interactive media, the volume and diversity of content being produced have expanded exponentially. AI-powered storyboard generation tools are enabling a broader range of content creators, including small and medium enterprises, educators, and independent filmmakers, to access sophisticated visualization capabilities without requiring extensive artistic expertise. This democratization is fostering innovation, promoting inclusivity, and fueling the adoption of AI solutions across both established media houses and emerging content creators.

Technological advancements in natural language processing, computer vision, and generative AI models are further catalyzing the market’s expansion. Modern storyboard generation AI platforms can now interpret complex scripts, generate contextually accurate visual frames, and adapt to various artistic styles, enhancing the creative process. The integration of collaborative features, cloud-based deployment, and interoperability with other production tools is making these solutions increasingly attractive to enterprises seeking scalability and seamless workflow integration. As AI models become more sophisticated and accessible, the potential applications of storyboard generation AI are extending beyond entertainment and advertising into education, corporate training, and even virtual production environments.

Regionally, North America continues to dominate the Storyboard Generation AI market, accounting for the largest revenue share in 2024. This leadership is attributed to the presence of major media conglomerates, early adoption of advanced technologies, and a vibrant ecosystem of AI startups and established technology providers. Meanwhile, the Asia Pacific region is emerging as a high-growth market, driven by the rapid digital transformation of media and education sectors, increasing investments in AI research, and the expanding creative industry landscape in countries like China, India, and Japan. Europe also demonstrates significant potential, particularly in film production and advertising, supported by robust government initiatives and a strong creative economy. Latin America and the Middle East & Africa are witnessing steady growth, propelled by the rising demand for localized content and gradual digitalization of creative workflows.

Component Analysis

AI-Driven Storyboarding Market Outlook

According to our latest research, the global AI-Driven Storyboarding market size reached USD 1.74 billion in 2025, the base year for this study, with a robust compound annual growth rate (CAGR) of 22.9% expected from 2026 to 2034. By the end of 2034, the market is forecasted to achieve a value of approximately USD 11.8 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. The convergence of generative AI with pre-production workflows is fundamentally reshaping how stories are conceptualized, planned, and brought to life across film, advertising, gaming, and education.

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. The maturation of storyboard generation AI platforms is making these benefits available to an ever-wider range of organizations in 2025.

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, 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 well into the 2026-2034 forecast period. The rise of AI-generated storytelling as a mainstream creative discipline is further expanding the addressable market.

Technological advancements in AI, particularly in generative models, natural language processing, and computer vision, are further propelling growth. Modern AI algorithms can analyze scripts, generate relevant visual frames, and 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 through 2025 and beyond, their ability to understand context, emotion, and visual aesthetics will only deepen, making AI-driven storyboarding indispensable for creative professionals worldwide. Platforms powered by large language models and diffusion-based image generation are already setting new benchmarks for speed and visual fidelity.

From a regional perspective, North America currently holds the largest share of the AI-Driven Storyboarding market at approximately 38.5% in 2025, 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 the highest-growth region, fueled by increasing investments in digital media infrastructure, a burgeoning gaming sector, and a rapidly growing pool of crea

Record of brands Catrine Svellingen | Visual Storytelling & Creative Direction has partnered with on Instagram. Available to registered users.

Evaluation of models performing Interleaved Text-Image Generation on the ISG-Bench dataset, assessing performance across style transfer, temporal prediction, visual storytelling, and VQA capabilities.

Visual language, taken from the creation and reception of image perspectives, is ever-present in mediatized societies. With an interest in knowing what the experience of this is, a study is carried out in a university context, in the Faculty of Education at the University of Murcia, with the participation of 321 young students. The main objective of this study is to delve into the visual message, as a universal language in its productive and interpretative aspects, within a context marked by technology and the large-scale creation and use of images. The investigation is carried out by starting with a typical target performance, an individual, objective questionnaire which included three dimensions: the use of photographs, the use of graphic images, and the level of reflection and veracity of the image. A Principal Components Analysis (PCA) is carried out, which gives rise to a new conceptual organization after the Oblimin rotation based on the underlying variables. The data shows significant differences depending on the educational interests, a steady decrease in the use of images as ages increase, as well as less use of the image as a language among participants who are men. Men also make fewer requests for permission and transfer of permission, which are for the use of their own image by third parties. There is also evidence of a greater social value given to the image by women, as well as greater reflection and questioning of the message over the thirties, also by women.

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

This repository contains the supplemental material for the paper "Eyes on the Narrative: Exploring the Impact of Visual Realism and AudioPresentation on Gaze Behavior in AR Storytelling". eyetracking_data contains relevant data for plots and analysis GetNumGlances.csv extracts number of glances from raw data lookingAtAvatar.csv is processed data for time looked at avatar numberOfGlances.csv is process data on number of times looked at avatar Order_numberOfglances.Rmd and Order_lookingAtAvatar.Rmd calculates statistics on order effects. Order_Preprocessing.R gets relevant data for analysis of order effects Stats_*.Rmd analysis number of glances, time looked at agent, and correlation. Further additional material can be found at https://zenodo.org/doi/10.5281/zenodo.10458342

Founded in 2018, AllianceTime Media operates in the Media & Entertainment sector offering brand development, event management, and corporate films and photography. The company provides a comprehensive suite of services, including traditional public relations, social media strategies, influencer campaigns, and experiential marketing. AllianceTime Media aims to reflect brand values through effective event management and captivating visual storytelling. Their tailored approach is designed to shape perceptions and drive engagement, ensuring impactful results for their clients.

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 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.

AI B-roll Generation Market Outlook

According to our latest research, the global AI B-roll Generation market size reached USD 1.13 billion in 2024, with a robust year-on-year growth driven by the increasing adoption of AI-powered video content solutions across diverse industries. The market is projected to grow at a CAGR of 29.7% from 2025 to 2033, reaching an estimated USD 9.34 billion by 2033. This remarkable growth is primarily fueled by the escalating demand for automated, high-quality video content in media, advertising, education, and corporate communication, as organizations seek to streamline production workflows and enhance audience engagement through dynamic visual storytelling.

The primary growth factor propelling the AI B-roll Generation market is the exponential surge in video content consumption across digital platforms. With audiences spending more time on streaming services, social media, and online learning platforms, content producers are under immense pressure to deliver visually appealing and contextually relevant videos at scale. AI B-roll generation tools, which automate the selection, editing, and integration of supplemental footage, are revolutionizing the content creation process. These tools not only reduce production time and costs but also ensure that content remains fresh and engaging, allowing creators to focus on core storytelling. Moreover, the ability of AI to analyze scripts, identify key moments, and suggest or generate appropriate B-roll footage is transforming traditional video editing workflows, making them more efficient and accessible even to non-experts.

Another significant driver of growth in the AI B-roll Generation market is the rapid advancement of AI and machine learning technologies, particularly in computer vision and natural language processing. These advancements have enabled AI solutions to understand context, recognize objects, and interpret emotions within video and audio content, leading to more precise and contextually relevant B-roll suggestions. The integration of generative AI models, such as diffusion models and large language models, further enhances the creative capabilities of these tools, allowing for the generation of entirely new footage that aligns with the narrative and style of the primary content. This technological leap is particularly valuable for content creators aiming to differentiate their offerings and maintain a competitive edge in a crowded digital landscape.

The increasing adoption of AI B-roll generation solutions by enterprises and educational institutions is also contributing to market expansion. In the corporate sector, businesses are leveraging AI-powered video tools to streamline internal communications, training, and marketing efforts. Educational institutions are utilizing these solutions to create engaging e-learning modules and instructional videos, thereby improving knowledge retention and learner engagement. As remote work and online learning continue to gain traction globally, the demand for scalable and cost-effective video production solutions is expected to remain strong, further bolstering the growth of the AI B-roll Generation market.

Regionally, North America dominates the AI B-roll Generation market, accounting for the largest revenue share in 2024, followed closely by Europe and the Asia Pacific. The strong presence of leading technology companies, early adoption of AI-driven media production tools, and a mature digital content ecosystem have positioned North America as the frontrunner. However, the Asia Pacific region is witnessing the fastest growth, driven by the rapid digitalization of media, increasing investment in AI research, and the proliferation of content creators across emerging economies. Europe is also experiencing steady growth, supported by robust regulatory frameworks and a thriving creative industry. Latin America and the Middle East & Africa are gradually catching up, with rising internet penetration and growing demand for localized video content.

Component Analysis

The AI B-roll Generation market is segmen

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.