Multimedia abstractions for a digital video library
DL '97 Proceedings of the second ACM international conference on Digital libraries
Evolving video skims into useful multimedia abstractions
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Data mountain: using spatial memory for document management
Proceedings of the 11th annual ACM symposium on User interface software and technology
Video retrieval with multiple image search strategies
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
Collages as dynamic summaries for news video
Proceedings of the tenth ACM international conference on Multimedia
ECDL '02 Proceedings of the 6th European Conference on Research and Advanced Technology for Digital Libraries
How fast is too fast?: evaluating fast forward surrogates for digital video
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
VIVO: a Video Indexing and Visualization Organizer
Proceedings of the 3rd ACM/IEEE-CS joint conference on Digital libraries
Statistical visual feature indexes in video retrieval
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Dynamic key frame presentation techniques for augmenting video browsing
AVI '98 Proceedings of the working conference on Advanced visual interfaces
The effect of text in storyboards for video navigation
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Text or pictures? an eyetracking study of how people view digital video surrogates
CIVR'03 Proceedings of the 2nd international conference on Image and video retrieval
Toward a conceptual framework of key-frame extraction and storyboard display for video summarization
Journal of the American Society for Information Science and Technology
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This exploratory study investigates one type of video surrogate, storyboards, in terms of their ability to summarize and communicate the themes of arts-related videos. An HTML interface containing the storyboards, videos, and instructions was developed and run in a standard browser. Three phases—consisting of storyboard evaluation, full-length video evaluation, and their comparison—were completed by each user for three different videos. The data were analyzed for issues relating to keywords, summaries, and recognition of visual style for both the storyboards and the full-length videos. The linear sequence and narrative structure of storyboards are questioned, and a three-tiered model is proposed. The first layer consists of keyframes representing the “entity” and “action” of the video's central theme, the second layer consists of “entity” and “action” keyframes with regard to background or supporting information, and the third layer is composed of keyframes representing attributes, locations, and time periods. This structure facilitates the identification of appropriate keyframes for storyboards, eliminating redundant or peripheral images, and improves the storyboard's ability to communicate the essential message of videos. The tiered model is motivated and supported by the user study as well as current research on video surrogates and classical indexing theory. © 2007 Wiley Periodicals, Inc.