A feature-based scalable codec for image compression

Lun Chia Kuo*, Sheng-Jyh Wang

*Corresponding author for this work

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

2 Scopus citations

Abstract

This paper presents a feature-based scheme for image compression. In the proposed method, the features in an image are recorded by three-dimensional verge points, which are defined as high curvature points on the image surface. The verge point representation can be further condensed using B-spline control point approximation. By encoding and transmitting these control points, the features in an image could be revealed at the decoder side. Furthermore, by selecting different coding modes, the proposed method can offer diversified scalabilities, including SNR scalability, spatial scalability, and shape scalability. In addition, this coding technique is suitable for region of interest selection and transmission. Experimental results are provided to present the scalability and interactivity of the proposed method.

Original languageEnglish
Title of host publicationProceedings - 19th International Conference on Advanced Information Networking and Applications, AINA 2005
Pages87-90
Number of pages4
DOIs
StatePublished - 1 Dec 2005
Event19th International Conference on Advanced Information Networking and Applications, AINA 2005 - Taipei, Taiwan
Duration: 28 Mar 200530 Mar 2005

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
Volume2
ISSN (Print)1550-445X

Conference

Conference19th International Conference on Advanced Information Networking and Applications, AINA 2005
CountryTaiwan
CityTaipei
Period28/03/0530/03/05

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  • Cite this

    Kuo, L. C., & Wang, S-J. (2005). A feature-based scalable codec for image compression. In Proceedings - 19th International Conference on Advanced Information Networking and Applications, AINA 2005 (pp. 87-90). [1423652] (Proceedings - International Conference on Advanced Information Networking and Applications, AINA; Vol. 2). https://doi.org/10.1109/AINA.2005.24