22 March 2001 Incorporating content sensitivity into standard video compression algorithms
Author Affiliations +
Proceedings Volume 4209, Multimedia Systems and Applications III; (2001) https://doi.org/10.1117/12.420833
Event: Information Technologies 2000, 2000, Boston, MA, United States
Abstract
Typical implementations of standard video compression algorithms use variance-based perceptual masking to adaptively vary the degree of compression noise to video content; the idea being that the human visual system is more sensitive to errors in low variance regions of the image. On a similar note, quality assessment algorithms employ similar spatial-frequency adaptive measures to judge compressed video quality. Such simplistic analysis leads to problems when we encounter "clean edges" in video (for example, text) which although classified as high frequency areas, are still very sensitive to compression noise. Such discrimination between "good" and "bad" texture is particularly important for low bit rate, internet video transmission. In this paper we will propose a novel, computationally simple scheme which further distinguishes between "clean" and "random" edges. By comparing the proposed algorithm with other standard texture classification schemes in literature, we will show that we obtain a substantial improvement in discriminatory ability, albeit at a much lower computational cost. Further more, we will show that the proposed scheme can be applied on a per macro-block basis, thus making it particularly suitable to drive standard, block based video compression algorithms such as H.261/3 or MPEG-1/2 which are quite popular.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Krishna Ratakonda, Ligang Lu, "Incorporating content sensitivity into standard video compression algorithms", Proc. SPIE 4209, Multimedia Systems and Applications III, (22 March 2001); doi: 10.1117/12.420833; https://doi.org/10.1117/12.420833
PROCEEDINGS
4 PAGES


SHARE
RELATED CONTENT

4K-based intra and interprediction techniques for HEVC
Proceedings of SPIE (April 29 2016)
Binary Format for Scene (BIFS) combining MPEG 4 media...
Proceedings of SPIE (December 28 1998)
Derivate statistics for Karhunen-Loève transform
Proceedings of SPIE (April 18 2006)
Signature-based image identification
Proceedings of SPIE (November 22 1999)
Mask-based interactive watermarking protocol for video
Proceedings of SPIE (November 12 2001)
Digital watermarking systems with chaotic sequences
Proceedings of SPIE (April 09 1999)

Back to Top