A distance measure for video sequences
Computer Vision and Image Understanding - Special issue on content-based access for image and video libraries
Shot Partitioning Based Recognition of TV Commercials
Multimedia Tools and Applications
Exploring Video Structure Beyond The Shots
ICMCS '98 Proceedings of the IEEE International Conference on Multimedia Computing and Systems
Key frame selection by motion analysis
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Robust color histogram descriptors for video segment retrieval and identification
IEEE Transactions on Image Processing
A repeated video clip identification system
Proceedings of the 13th annual ACM international conference on Multimedia
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In this paper we propose a novel space-time color feature representation for video shot and apply it to content identification. In this representation the shot is cut into k equal size segments, and each segment is represented by a blending image formed through averaging the pixels' values of each frame in this segment along time direction. Each blending image is then divided into equal size blocks, and two color patterns named major and minor colors among mean R,G,B are extracted for each block. Hence each shot can be represented by a fixed-length string. The experiment shows this representation is not only robust to image quality reduction, frame size and frame rate change, but also to color distortion such as brightness/contrast adjustment. We also give a video similarity measure based on this color feature to identify shot chunks. We conducted experiment on 100 video clips, and quite low error rates can be achieved when identifying small size shot chunks with significant color distortion. From the experiment we believe that this color feature is a compact and robust representation for video content, and effective for content identification.