Hardware support for shape decoding from 2D-region-based image representations

Gilles Privat; Ivan Le Hin

doi:10.1117/12.263508

17 January 1997 Hardware support for shape decoding from 2D-region-based image representations

Gilles Privat, Ivan Le Hin

Proceedings Volume 3021, Multimedia Hardware Architectures 1997; (1997) https://doi.org/10.1117/12.263508
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

Graphics systems have long been using standard libraries or APIs to insulate applications from implementation specifics. The same approach is applicable to natural image representations based on object primitives, such as proposed for MPEG4 standardization. The rendering of these image objects can be hidden behind APIs and supported either in hardware or software, depending on the level of representation they address, so that higher-level manipulation of these objects is made independent of the pixel level. We evaluate the trade-offs involved in the choice of these primitives to be used as pivotal intermediate representations. The example addressed is shape coding for image regions obtained from segmentation. Shape coding primitives based on either contour (chain codes), union of elementary patterns and alphaplane are evaluated with regard to both the possibility to support them on different architecture models and the level of functionalities they make available.

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Gilles Privat and Ivan Le Hin "Hardware support for shape decoding from 2D-region-based image representations", Proc. SPIE 3021, Multimedia Hardware Architectures 1997, (17 January 1997); https://doi.org/10.1117/12.263508

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