Detection and encoding of model failures in very low bit rate video coding

Taner Ozcelik*, Aggelos K. Katsaggelos

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations


One of the challenging problems for most existing video codecs is the detection and encoding of the information pertaining to model failure areas, i.e., areas where the compensation of the motion is insufficient. The insufficient motion may result from several different reasons, such as uncovered background by moving objects, complex motion, etc. The existing approaches to detection and encoding of model failures are closely tied to the encoding scheme they are built in, particularly to the specific motion estimation algorithm used; therefore, generalization of these algorithms to other coding techniques is not possible. On the other hand, the efficient encoding of the position and the intensity field information in these areas is also very crucial to the performance of the very low bit rate codecs. The existing approaches fail to meet the target bit rates and satisfactory image quality. In this paper, a new method to detect the model failure areas is described. In this method, the model failure areas are detected based on a motion compensated prediction of the current frame independently of the motion estimation algorithm. Thus the proposed method can be used with any type of coding scheme. In addition efficient and robust encoding of the boundary and the intensity information is described. The simulation results demonstrate that with the described method, the requirements of very low bit rate coding can be satisfactorily met.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
Number of pages12
StatePublished - Dec 1 1996
EventVisual Communications and Image Processing'96. Part 2 (of 3) - Orlando, FL, USA
Duration: Mar 17 1996Mar 20 1996

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherVisual Communications and Image Processing'96. Part 2 (of 3)
CityOrlando, FL, USA

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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