CanVid: Content- and Network-aware Video Processing---Summarization, Streaming, and Encoding
We are designing adaptive streaming algorithms that are based on the visual content of the video streams. The goal is to adaptively transmit the most important frames to clients to yield the best quality. Several ideas are being explored, including: real time and offline processing of video streams, summarization of sports videos, and adaptation of multi-layer scalable video streams.
People
- Mohamed Hefeeda (Assistant Professor)
- Wael Abd-Almageed (Assistant Research Scientist at UMD)
- Majid Bagheri (MSc Student, Graduated)
Sample Results on Summarization
Surveillance Videos
Sports Videos
General and Miscellaneous
References and Links
- Sanghoon Sull, Jung-Rim Kim, Yunam Kim, Hyun Sung Chang, Sang Uk Lee, Scalable Hierarchical Video Summary and Search, Proc. SPIE, Vol. 4315, Storage and Retrieval for Media Databases, pp.553-561, Jan 2001. local copy
- B. Troung and S. Venkatesh, Video abstraction: A systematic review and classification, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP), Feb 2007, 3(1)
- Y. Gong and X. Liu, Video summarization using singular value decomposition, in Proc. of IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head Island, SC, June 2000, pp. 174–180.
- K. Tan, R. Ribier, S. Liou, Content-sensitive video streaming over low bitrate and lossy wireless network, ACM Multimedia 2001.
- X. Zhou, S. Liou, Optimal nonlinear sampling for video streaming at low bit rates, IEEE Transactions on Circuits and Systems for Video Technology, Jun 2002, 12(6), pp. 535-544.
- ITU-T Tutorial: Objective perceptual assessment of video quality: Full reference television, International Telecommunication Union, Geneva, Switzerland, 2004.
- ITU-R Recommendation BT.500-11: Methodology for the subjective assessment of the quality of television pictures, International Telecommunication Union, Geneva, Switzerland, 2002.
