DocumentCode
318370
Title
Scalable coding based on adaptive subband for interlaced video sequences
Author
Sawada, Katsutoshi ; Yoshida, Takehiro
Author_Institution
Aichi Inst. of Technol., Toyota, Japan
Volume
2
fYear
1997
fDate
26-29 Oct 1997
Firstpage
621
Abstract
Resolution scalability refers to a picture coding property where pictures at lower different resolutions can be reconstructed by decoding only the subsets of a single coded bit-stream, while the full resolution picture is reconstructed by decoding the total bit-stream. This paper presents a resolution scalable video coding scheme for interlaced video sequences. The proposed scalable coding scheme employs adaptive in-field/in-frame subband for spatial scalability, where in-field subband and in-frame subband are adaptively used for moving portions and stationary portions respectively. It also employs adaptive field/frame subsampling for temporal scalability. Experimental results have demonstrated that the proposed adaptive subband gives better picture quality especially for reconstructed lower resolution pictures compared to non adaptive subband
Keywords
adaptive signal processing; decoding; image reconstruction; image resolution; image sampling; image sequences; motion compensation; prediction theory; video coding; adaptive field/frame subsampling; adaptive in-field/in-frame subband; bit rate reduction; coded bit-stream; decoding; experimental results; interlaced video sequences; motion compensation prediction; picture coding; picture quality; picture reconstruction; resolution scalability; scalable video coding; spatial scalability; temporal scalability; Bit rate; Decoding; Digital TV; Image databases; Image resolution; Scalability; Scanning probe microscopy; Spatial resolution; Video coding; Video sequences;
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.1997.638848
Filename
638848
Link To Document