Production model based digital video segmentation
Multimedia Tools and Applications
Texture Features for Browsing and Retrieval of Image Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Time-Constrained Keyframe Selection Technique
Multimedia Tools and Applications
Constructing table-of-content for videos
Multimedia Systems - Special section on video libraries
Automatic Video Scene Extraction by Shot Grouping
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 4
Gradual shot boundary detection using localized edge blocks
Multimedia Tools and Applications
Extracting story units from long programs for video browsing and navigation
ICMCS '96 Proceedings of the 1996 International Conference on Multimedia Computing and Systems
Shot boundary detection using frame transition parameters and edge strength scatter
PReMI'07 Proceedings of the 2nd international conference on Pattern recognition and machine intelligence
Video scene segmentation using sequential change detection
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
IEEE Transactions on Multimedia
A robust scene-change detection method for video segmentation
IEEE Transactions on Circuits and Systems for Video Technology
Information theory-based shot cut/fade detection and video summarization
IEEE Transactions on Circuits and Systems for Video Technology
| Hi-index | 0.00 |
Video storyboard is a common way to render the summarized view of video data. Video is first segmented and a representative frame from each of the segmented units are ordered chronologically to form the storyboard. The representative frames also can be organized to form Table of Content(ToC). But size of such storyboard/ToC may be prohibitive in the applications where the views are to be transmitted over a limited bandwidth. In this work, we propose a spanning tree based novel method to select a subset of representative frames of specific size. It is also shown that the proposed method is powerful enough that it can generate almost similar storyboard from a set of equi-spaced samples (of frames) from the video stream without explicit segmentation or shot detection.