DocumentCode
3339014
Title
Automatic detection of video synthesis related artifacts
Author
Ndjiki-Nya, Patrick ; Kootz, Michael ; Wiegand, Thomas
Author_Institution
Image Process. Dept., Fraunhofer Inst. for Telecommun. Heinrich-Hertz-Inst., Berlin, Germany
Volume
3
fYear
2004
fDate
17-21 May 2004
Abstract
An automatic approach for the detection of artifacts that may be introduced in video analysis/synthesis coding is presented. It is assumed that textures in a video scene can be classified into two categories: textures with unimportant subjective details and the remainder. We use this idea for video coding with a texture analyzer at the encoder and a texture synthesizer at the decoder. The analyzer identifies detail-irrelevant textures and generates side information for the synthesizer, which inserts synthetic textures at the specified locations. Our approach can be integrated into any video codec. This paper focuses on improvements of the texture synthesizer and the avoidance of potentially subjectively annoying spatial artifacts. The presented automatic detector yields an artifact identification rate of up to 89%. The former enables automatic online evaluation of the quality of synthesized frames, which allows eventual fallback on the reference video codec it is built on, for coding erroneous macroblocks.
Keywords
edge detection; image classification; image reconstruction; image texture; video coding; artifact identification rate; automatic artifact detection; automatic online quality evaluation; decoder texture synthesizer; detail-irrelevant textures; edge detector; encoder texture analyzer; erroneous macroblock coding; reconstructed textures; spatial artifacts; synthetic textures; unimportant subjective detail textures; video analysis coding; video codec; video scene texture classification; video synthesis coding; video synthesis related artifacts; Decoding; Detectors; Information analysis; Layout; Synthesizers; Video codecs; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8484-9
Type
conf
DOI
10.1109/ICASSP.2004.1326649
Filename
1326649
Link To Document