Adaptive vector quantization of video signals with motion compensation and spatial masking

Ali N. Akansu, Manjunatha S. Kadur

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations

Abstract

An efficient adaptive scheme is proposed for low-bit-rate video sequence coding. The redundancy within adjacent video frames is exploited by motion-compensated interframe prediction, and the motion-compensated frame difference (MCFD) signal is vector quantized adaptively. The MCFD and the motion information are transmitted to the receiver to reconstruct the frames. It is noted that the dependence of the vector codebooks on the set of of training signals is much less for the MCFD signals than the original video frames. The MCFD signals are classified into the five groups according to the local variances. A multicodebook vector quantizer is designed that is based on all groups. Some simple masking properties are also used in the design of the vector quantizer. An average signal-to-noise ratio of 37.85 dB is obtained for the highly active CINDY video sequence with an average bit rate of 0.47 b/pixel over 40 frames.

Original languageEnglish (US)
Pages (from-to)1378-1381
Number of pages4
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume2
StatePublished - Dec 1 1989
EventIEEE International Symposium on Circuits and Systems 1989, the 22nd ISCAS. Part 1 - Portland, OR, USA
Duration: May 8 1989May 11 1989

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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