Paper
10 January 1997 Motion-adaptive model-assisted compatible coding with spatiotemporal scalability
JaeBeom Lee, Alexandros Eleftheriadis
Author Affiliations +
Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263274
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Abstract
We introduce the concept of motion adaptive spatio-temporal model-assisted compatible (MA-STMAC) coding, a technique to selectively encode areas of different importance to the human eye in terms of space and time in moving images with the consideration of object motion. PRevious STMAC was proposed base don the fact that human 'eye contact' and 'lip synchronization' are very important in person-to-person communication. Several areas including the eyes and lips need different types of quality, since different areas have different perceptual significance to human observers. The approach provides a better rate-distortion tradeoff than conventional image coding techniques base don MPEG-1, MPEG- 2, H.261, as well as H.263. STMAC coding is applied on top of an encoder, taking full advantage of its core design. Model motion tracking in our previous STMAC approach was not automatic. The proposed MA-STMAC coding considers the motion of the human face within the STMAC concept using automatic area detection. Experimental results are given using ITU-T H.263, addressing very low bit-rate compression.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
JaeBeom Lee and Alexandros Eleftheriadis "Motion-adaptive model-assisted compatible coding with spatiotemporal scalability", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263274
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Cited by 5 scholarly publications.
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KEYWORDS
Motion models

Laser induced plasma spectroscopy

Eye models

Eye

Image compression

Computer programming

Quantization

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