Source models for VBR broadcast-video traffic
IEEE/ACM Transactions on Networking (TON)
Simple and efficient models for variable bit rate MPEG video traffic
Performance Evaluation - Special issue on applied probability modelling in telecommunication
On the characterization of VBR MPEG streams
SIGMETRICS '97 Proceedings of the 1997 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Performance evaluation of a scene-based model for VBR MPEG traffic
System performance evaluation
MPEG Video Compression Standard
MPEG Video Compression Standard
Video Content Streaming Service Using IP/RSVP Protocol Stack
WIAPP '99 Proceedings of the 1999 IEEE Workshop on Internet Applications
On the extraction of DC sequence from MPEG compressed video
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Digital video libraries and the Internet
IEEE Communications Magazine
Foveated video compression with optimal rate control
IEEE Transactions on Image Processing
Real-time video content analysis: QoS-aware application composition and parallel processing
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
An evaluation of video cut detection techniques
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
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Two basic requirements for a digital video library to be "browsable" are a precisely indexed content and informative abstracts. Nowadays such solutions are not common in video search engines or generic digital video platforms, therefore, the authors suggest developing some computer applications resolving the problems of at least abstracts' creation. The abstracts cannot be constructed without a deep video content analysis, including some low level processing like a shot detection towards a video sequence segmented to a series of "camera takes". The presented method, aimed at a shot detection, deploys a concept of a Motion Factor (of frame transitions). The basic definition considers the motion factor as a very sudden peak of difference between two successive frames. In some specific areas, the intrashot motion factor may suppress the shot-boundary motion factor. In order to avoid misrecognition of both motion factors during a shot detection process a concept of a differential motion factor was implemented. The full-resolution algorithm achieves the accuracy of up to 80%, however, it is very time-consuming. The shot detection accuracy was measured including true and false shots detected as well as real shots that were bounded visually. The authors' research of a representative number of movies (from various categories) has revealed that the shot detection process can be accelerated up to 500 times without any significant deterioration of shot recognition accuracy. The shot detection algorithm was accelerated in a simple manner by two-dimensional reduction of a frame resolution (in pixels).