DocumentCode
319890
Title
Quality assessment of image features in video coding
Author
van den Branden Lambrecht, Christian J. ; Verscheure, Olivier ; Urbain, Jérôme ; Tassin, Florent
Author_Institution
Signal Process. Lab., Fed. Inst. of Technol., Lausanne, Switzerland
Volume
1
fYear
1997
fDate
26-29 Oct 1997
Firstpage
302
Abstract
This paper describes an extension of a vision model for video that has been designed to estimate how specific features in moving pictures are rendered as a consequence of a compression process. The resulting model permits to evaluate the distortions on contours and textures in a sequence, as well as to estimate how strong the blocking effect (resulting from a block-DCT compression scheme) is. The model has been used to evaluate feature rendition in MPEG-2 compressed sequences
Keywords
data compression; discrete cosine transforms; image sequences; image texture; transform coding; video coding; MPEG-2 compressed sequences; block-DCT compression scheme; blocking effect; contour distortion; feature rendition; image features; moving pictures; quality assessment; texture distortion; video coding; vision model; Brain modeling; Image coding; Image segmentation; Laboratories; Quality assessment; Testing; Transform coding; Video coding; Video compression; Video signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 1997. Proceedings., International Conference on
Conference_Location
Santa Barbara, CA
Print_ISBN
0-8186-8183-7
Type
conf
DOI
10.1109/ICIP.1997.647766
Filename
647766
Link To Document