Title :
Region of interest coding for low bit rate image transmission
Author :
Déforges, O. ; Ronsin, J.
Author_Institution :
UMR IRER, Inst. Nat. des Sci. Appliques, Rennes, France
Abstract :
Region of interest (ROI) coding has become a new challenge for low bandwidth media channels. This paper presents an original method for low bit rate compression using this concept. It is based on a new progressive coding technique called LAR (Locally Adaptive Resolution) combining a spatial nonuniform sampling and a variable block-size spectral transform. Only little overhead is required for the ROI shape description, and the data structure enabling the inner ROI enhancement is totally correlated to this shape. This technique is also very fast, allowing real-time and interactive multimedia applications
Keywords :
data compression; image coding; image sampling; multimedia communication; real-time systems; Locally Adaptive Resolution; data structure; interactive multimedia applications; low bandwidth media channels; low bit rate compression; low bit rate image transmission; real-time system; region of interest coding; spatial nonuniform sampling; variable block-size spectral transform; Bandwidth; Bit rate; Data structures; Image coding; Image communication; Image sampling; MPEG 4 Standard; Sampling methods; Shape; Spatial resolution;
Conference_Titel :
Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on
Conference_Location :
New York, NY
Print_ISBN :
0-7803-6536-4
DOI :
10.1109/ICME.2000.869556