John Dixon
ABSTRACT
This paper describes a keyframe summarization method for client-server applications. This technique is designed for applications where a camera is collecting content on a continuous basis that must be transmitted in a summarized form to a remote database server over wireless network. The system combines three keyframe selection methods including a novel fast motion-based selection method, keyframe pooling and clustering for bandwidth control, and network bandwidth estimation.
- 1.J. Kim, H. Chang, J. Kim, and H. Kim. Efficient camera motion characterization for mpeg video indexing. In ICMEOO, page TPll, 2000.Google Scholar
- 2.A. Kundu. Robust edge detection. Computer Vision and Pattern Recognition, pages 11-18, 1989.Google ScholarCross Ref
- 3.A. Kundu. Motion estimation by image content matching and application to video processing. In ICASSPSG, 1996. Google ScholarDigital Library
- 4.A. Nagasaka and Y. Tanaka. Visual Database Systems II, chapter Automatic Video Indexing and Full-Video Search for Object Appearances, pages 113-127. Elsevier Science Publishers B. V., North-Holland, 1992. Google ScholarDigital Library
- 5.J. Wang and E. Adelson. Representing moving images with layers. IP, 3(5):625-638, September 1994.Google Scholar
- 6.W. Wolf. Key frame selection by motion analysis. In 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, volume 2, pages 1228 -1231, Atlanta, GA, 1996. Google ScholarDigital Library
- 7.H. Zhang. The Handbook o f Multimedia Computing, chapter Content-Based Video Browsing and Retrieval, pages 255-280. CRC Press, Boca Raton, FL, 1999. Google ScholarDigital Library
- 8.H. J. Zhang, A. Kankanhalli, and S. W. Smoliar. Automatic partitioning of full-motion video. Multimedia Systems, l:lO-28, 1993. Google ScholarDigital Library
Index Terms
- Fast client-server video summarization for continuous capture
Recommendations
Exploiting character networks for movie summarization
Movie summarization focuses on providing as much information as possible for shorter movie clips while still keeping the content of the original movie and presenting a faster way for the audience to understand the movie. In this paper, we propose a ...
Rushes video summarization using audio-visual information and sequence alignment
TVS '08: Proceedings of the 2nd ACM TRECVid Video Summarization WorkshopThis paper describes our system and methodologies for the BBC rushes video summarization task of TRECVID 2008. The procedure of the system is composed of three major steps: shot detection, irrelevant and repetitive subshot removal, and final summary ...
Keyframe Extraction from Motion Capture Sequences with Graph based Deep Reinforcement Learning
MM '21: Proceedings of the 29th ACM International Conference on MultimediaAnimation production workflows centred around motion capture techniques often require animators to edit the motion for various artistic and technical reasons. This process generally uses a set of keyframes. Unsupervised keyframe selection methods for ...
Comments