The Visual Storytelling Dataset (VIST) consists of 210,819 unique photos and 50,000 stories. The images were collected from albums on Flickr. The albums included 10 to 50 images and all the images in an album are taken in a 48-hour span. The stories were created by workers on Amazon Mechanical Turk, where the workers were instructed to choose five images from the album and write a story about them. Every story has five sentences, and every sentence is paired with its appropriate image. The dataset is split into 3 subsets, a training set (80%), a validation set (10%) and a test set (10%). All the words and interpunction signs in the stories are separated by a space character and all the location names are replaced with the word location. All the names of people are replaced with the words male or female depending on the gender of the person.

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

A new dataset describing textual stories for events.

The Creative Visual Storytelling Anthology is a collection of 100 author responses to an improved creative visual storytelling exercise over a sequence of three images. Each item contains four facet entries, corresponding to Entity, Scene, Narrative, and Title.

The Creative Visual Storytelling Anthology was collected on Amazon Mechanical Turk. Five different authors performed the task for 20 different Flickr and Search-and-Rescue image-sets ( a sequence of 3 images) for a total of 100 items in the anthology. There are 300 unique Entity and Scene entries (single-image facets completed for each image), 200 unique Narrative entries (multi-image facets performed twice with two and then three images), and 100 unique Title entries (multi-image facets completed for three images). Thus, with each one assigned a title, there are 100 unique stories in the anthology all together.

One set of images used in collecting the anthology originated from Flickr, under Creative Commons Licenses. We chose a subset of Huang et al’s VIST dataset and downselected their image sequences from five to three images to scaffold the Aristotelian dramatic structure. We do not release the Flickr images in order to track the providence of the images. The Flickr images' authors and copyright information and usage are documented in the Flickr imageset license spreadsheet.

The second source of images came from a Search and Rescue (SAR) scenario. We selected three images in-order from experimental runs from a human-robot collaboration task, and similar sequential images were excluded for sake of diversity. The SAR images can be obtained through the SCOUT (The Situated Corpus of Understanding Transactions) dataset.

Visual storytelling refers to the manner of describing a set of images rather than a single image, also known as multi-image captioning. Visual Storytelling Task (VST) takes a set of images as input and aims to generate a coherent story relevant to the input images. In this dataset, we bridge the gap and present a new dataset for expressive and coherent story creation. We present the Sequential Storytelling Image Dataset (SSID), consisting of open-source video frames accompanied by story-like annotations. In addition, we provide four annotations (i.e., stories) for each set of five images. The image sets are collected manually from publicly available videos in three domains: documentaries, lifestyle, and movies, and then annotated manually using Amazon Mechanical Turk. In summary, SSID dataset is comprised of 17,365 images, which resulted in a total of 3,473 unique sets of five images. Each set of images is associated with four ground truths, resulting in a total of 13,892 unique ground truths (i.e., written stories). And each ground truth is composed of five connected sentences written in the form of a story.

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.

Exploring visual storytelling is a book. It was written by Brian Arnold and published by Thomson Delmar Learning in 2007.

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Digital Storytelling Courses Market Size 2024-2028

The digital storytelling courses market size is forecast to increase by USD 267.84 million at a CAGR of 9.87% between 2023 and 2028.

The market is experiencing significant growth due to several key trends. Firstly, there is an increasing focus on enhancing soft skills, particularly communication and creativity, in both personal and professional contexts. This has led to a increase in demand for digital storytelling courses that can help individuals develop these skills. Online learning platforms are driving this trend by offering digital content, multimedia development, communication, character development, plot, and dialogue courses. Another trend driving market growth is the rising adoption of smart classrooms. With the integration of technology in education, these are becoming an essential component of modern curricula. Moreover, the rise in demand for Massive Open Online Courses (MOOCs) has further fueled market growth, as these courses offer flexibility, affordability, and accessibility to a large number of learners. In summary, the market is witnessing strong growth due to the increasing importance of soft skills, the adoption of technology in education, and the popularity of MOOCs. These trends are expected to continue shaping the market dynamics In the coming years.

What will be the Size of the Market During the Forecast Period?

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The market is experiencing significant growth as businesses increasingly leverage online learning platforms for multimedia development and communication. This trend is driven by the demand for user-friendly storytelling approaches that engage audiences through character development, plot, and dialogue. Artificial intelligence and augmented reality technologies are transforming digital storytelling, enabling more personalized learning experiences. Soft skills training, CRM, and brand positioning are among the key areas where businesses are investing in digital storytelling to enhance their customer connections. Institutional learners and individual learners alike are turning to digital platforms for degree, nondegree, and certification programs in digital storytelling. K-12 interactive learning and pre-K-12 education are also adopting digital storytelling techniques to enhance historical documentaries, personal narratives, and virtual reality experiences.
Moreover, corporate training programs are utilizing digital storytelling to improve employee engagement and productivity. The market is expected to continue growing as businesses recognize the value of effective digital storytelling in building strong customer relationships and enhancing brand image.

How is this Industry segmented and which is the largest segment?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Type

  Degree
  Non-degree
  certification


End-user

  Institutional learners
  Individual learners


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK


  APAC

    China


  Middle East and Africa



  South America

By Type Insights

The degree segment is estimated to witness significant growth during the forecast period.

The digital storytelling market is experiencing significant growth due to the increasing demand for multimedia content in various sectors. These user-friendly storytelling approaches are being adopted by businesses for corporate training, advertising, brand building, content marketing, and higher education. Digital communications, artificial intelligence, augmented reality, and virtual reality are also transforming the way stories are told. Personalized learning experiences are becoming essential for institutional and individual learners, leading to an increase in degree, nondegree, certification, and K12 interactive learning programs. The corporate sector, personal narratives, educational videos, interactive games, website design, audio engineering, animation, soft skills, CRM, brand positioning, and various other industries are leveraging digital storytelling for growth.

Get a glance at the Digital Storytelling Courses Industry report of share of various segments Request Free Sample

The degree segment was valued at USD 291.78 million in 2018 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 39% to the growth of the global market during the forecast period.

Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

For more insights on the market share of various regions, Request Free Sample

The North American market holds a significant share In the di

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 dataset is about book series and is filtered where the books is Production design for screen : visual storytelling in film and television. It has 10 columns such as authors, average publication date, book publishers, book series, and books. The data is ordered by earliest publication date (descending).

This dataset is about books and is filtered where the book is Basic cinematography : a creative guide to visual storytelling, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

In todays hyper-competitive marketplace, brands are continually seeking innovative strategies to cut through the clutter and engage with their target audiences effectively. This research paper delves into the strategic significance of storytelling in the realm of content marketing and advertising campaigns. Drawing upon a comprehensive review of scholarly literature and empirical evidence, this paper explores how storytelling enhances audience engagement, fosters emotional connections, and ultimately drives tangible business outcomes. Through the analysis of case studies and industry benchmarks, this paper provides actionable insights for marketers seeking to leverage storytelling as a powerful tool for campaign success.

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.

The global visual content market is anticipated to reach a value of USD 9104.8 million by 2033, expanding at a CAGR of XX% during the forecast period 2025-2033. The growth of the market is attributed to the increasing demand for visual content in various end-use industries, such as media and entertainment, advertising, and marketing. The rising popularity of social media platforms and the increasing use of visual content in e-commerce and online learning are also contributing to the market's growth. The increasing adoption of mobile devices and the growing trend of visual storytelling are further driving the demand for visual content. Among the different segments of the market, stock photos are expected to hold the largest market share during the forecast period. The growth of this segment is attributed to the increasing demand for high-quality and royalty-free stock photos for use in various applications. The rising number of online platforms offering stock photos is also contributing to the growth of this segment. In terms of application, the commercial segment is expected to dominate the market during the forecast period. The increasing demand for visual content for use in advertising and marketing campaigns is driving the growth of this segment. The editorial segment is also expected to witness significant growth during the forecast period due to the increasing demand for visual content for use in news media and online publications.

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

The global digital storytelling market is poised for substantial growth over the forecast period, with a projected market size of USD 5940 million in 2023. Driven by the rising popularity of online content creation and the demand for engaging and immersive storytelling experiences, the market is anticipated to exhibit a CAGR of XX% during the period 2025-2033. The growing adoption of cloud-based platforms and the proliferation of mobile devices are further fueling market growth. Significant factors driving the market include the increasing use of digital storytelling in education, entertainment, and marketing. Educational institutions are leveraging digital storytelling platforms to create interactive and engaging learning experiences, while entertainment companies are using them to develop immersive films, games, and virtual reality experiences. Moreover, businesses are utilizing digital storytelling to connect with their audiences and deliver impactful messages. The market also benefits from technological advancements such as artificial intelligence and augmented reality, which enhance the storytelling experience and provide personalized content to users.

This dataset is about books and is filtered where the book is Digital storytelling : a creator's guide to interactive entertainment, featuring 7 columns including author, BNB id, book, book publisher, and ISBN. The preview is ordered by publication date (descending).

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.

Visual Content Market Outlook

The global visual content market size was valued at approximately USD 38 billion in 2023 and is projected to reach around USD 72 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.1% during the forecast period. This remarkable growth can be attributed to the increasing demand for engaging and interactive content across various platforms and the proliferation of digital channels. As businesses and content creators strive to capture the attention of increasingly distracted audiences, the importance of visual storytelling has never been more pronounced. Key growth factors include advances in digital technology, the rise of social media platforms, and an increasing preference for video content among consumers.

One of the primary growth drivers for the visual content market is the rapid technological advancements in digital imaging and video creation. With the advent of high-resolution cameras, drones, and sophisticated editing software, the quality of visual content has significantly improved, enabling creators to produce stunning visuals that captivate audiences. Additionally, the increasing penetration of smartphones and internet connectivity has democratized access to visual content creation tools, allowing anyone with a smartphone to create high-quality visual content. This democratization has led to an explosion of user-generated content, further fueling the demand for platforms and services that can manage, distribute, and monetize this content effectively.

The rise of social media as a dominant force in communication and marketing has also played a crucial role in propelling the visual content market. Platforms like Instagram, TikTok, and YouTube have become indispensable tools for brands aiming to reach a younger, more visually-oriented audience. These platforms thrive on visual content, and their algorithms often prioritize such content over text-based posts. In response, brands and businesses are increasingly investing in the creation of visual content to enhance their digital presence and engage with their audience more effectively. This shift towards visual-centric content strategies has created a burgeoning demand for both professional content creators and digital marketing specialists skilled in visual storytelling.

The increasing importance of visual content in e-learning and remote education is another factor contributing to market growth. As educational institutions and corporate training programs pivot towards online platforms, there is a growing need for engaging educational content that can be accessed remotely. Visual content, such as infographics, video lectures, and interactive presentations, has proven to be highly effective in capturing learners' attention and enhancing comprehension. This trend is expected to continue, especially with the ongoing digital transformation in education and corporate sectors. As a result, there is a significant opportunity for educational content creators and technology providers to expand their offerings in this space.

Digital Video Content has emerged as a cornerstone of the visual content market, significantly influencing the way audiences consume media. With the increasing availability of high-speed internet and the proliferation of smart devices, digital video content is more accessible than ever, reaching audiences across the globe. This accessibility has led to a surge in video consumption, with platforms like YouTube, TikTok, and streaming services becoming central to entertainment and information sharing. As consumers increasingly prefer video over other forms of content, businesses and creators are investing heavily in producing high-quality digital video content to capture and retain viewer attention. This trend is further amplified by the integration of interactive elements and personalized experiences, enhancing engagement and driving the evolution of video content strategies.

Regionally, North America remains a significant player in the visual content market, driven by a robust media and entertainment industry, high internet penetration, and a mature digital landscape. However, Asia Pacific is expected to witness the highest growth rate during the forecast period, driven by the rapid adoption of digital technologies, increasing internet users, and a burgeoning middle class with rising disposable incomes. Countries like China and India are at the forefront of this growth, with their large populations and fast-growing digital ecosystems. In Europe, the market is driven by the demand for high-quality content in adve

Global Digital Storytelling Courses market size 2025 was XX Million. Digital Storytelling Courses Industry compound annual growth rate (CAGR) will be XX% from 2025 till 2033.