Paper
16 September 1994 Coding of significant features in very low bit-rate video systems
Josep R. Casas, Luis Torres
Author Affiliations +
Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.186014
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
Abstract
Small visual features are often meaningful for the subjective quality of the coded images in very-low bit-rate video systems. If some significant features of the original images are coded, large improvements in the perceived quality can be achieved at low cost. Perceptual factors must be taken into account in order to select only the most significant features for coding. Perceptual coding is the key issue in second generation video coding systems in order to reach the lowest bit-rates with acceptable quality. In this paper, some solutions are proposed for the extraction, selection and coding of small image features in video sequences. The extraction step is based on morphological tools and the selection is performed according to explicit perceptual criteria. The selected features are motion compensated and then coded with an efficient technique derived from the READ coding (2D run-length) taking references in the temporal dimension. The results at very low bit-rates validate the use of perceptual factors in advanced second generation coding techniques.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Josep R. Casas and Luis Torres "Coding of significant features in very low bit-rate video systems", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.186014
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Feature extraction

Video coding

Video

Visualization

Image processing

Feature selection

Image segmentation

Back to Top