Title :
Domain-based multiple description coding of images and video
Author :
Bajic, Ivan V. ; Woods, John W.
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
In this paper, we present a method of creating domain-based multiple descriptions of images and video. These descriptions are created by partitioning the transform domain of the signal into sets whose points are maximally separated from each other. This property enables simple error concealment methods to produce good estimates of lost signal samples. We present the approach in the context of Internet transmission of subband/wavelet-coded images and scalable motion compensated three-dimensional (3D) subband/wavelet-coded video, but applications are not limited to these scenarios. The results indicate that the proposed methods offer improvements over similar competing methods by up to 1 dB for images, and several decibels for video. Visual quality is also improved.
Keywords :
Internet; error correction codes; image coding; image sampling; motion compensation; set theory; transform coding; video coding; visual communication; wavelet transforms; 3D video; Internet transmission; domain-based multiple descriptions; error concealment; image coding; lost signal sample estimation; robust video coding; scalable motion compensated video; set partitioning; subband/wavelet-coded images; three-dimensional video; transform domain; visual quality; Decoding; Forward error correction; Image coding; Internet; Redundancy; Robustness; Systems engineering and theory; Video coding; Video compression; Video sharing;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2003.817248