Adaptive Binary Arithmetic Coder-Based Image Feature and Segmentation in the Compressed Domain
Joint Authors
Sung, Tze-Yun
Hsin, Hsi-Chin
Cattani, Carlo
Shieh, Yaw-Shih
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-12-22
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Image compression is necessary in various applications, especially for efficient transmission over a band-limited channel.
It is thus desirable to be able to segment an image in the compressed domain directly such that the burden of decompressing computation can be avoided.
Motivated by the adaptive binary arithmetic coder (MQ coder) of JPEG2000, we propose an efficient scheme to segment the feature vectors that are extracted from the code stream of an image.
We modify the Compression-based Texture Merging (CTM) algorithm to alleviate the influence of overmerging problem by making use of the rate distortion information.
Experimental results show that the MQ coder-based image segmentation is preferable in terms of the boundary displacement error (BDE) measure.
It has the advantage of saving computational cost as the segmentation results even at low rates of bits per pixel (bpp) are satisfactory.
American Psychological Association (APA)
Hsin, Hsi-Chin& Sung, Tze-Yun& Shieh, Yaw-Shih& Cattani, Carlo. 2011. Adaptive Binary Arithmetic Coder-Based Image Feature and Segmentation in the Compressed Domain. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1001640
Modern Language Association (MLA)
Hsin, Hsi-Chin…[et al.]. Adaptive Binary Arithmetic Coder-Based Image Feature and Segmentation in the Compressed Domain. Mathematical Problems in Engineering No. 2012 (2012), pp.1-14.
https://search.emarefa.net/detail/BIM-1001640
American Medical Association (AMA)
Hsin, Hsi-Chin& Sung, Tze-Yun& Shieh, Yaw-Shih& Cattani, Carlo. Adaptive Binary Arithmetic Coder-Based Image Feature and Segmentation in the Compressed Domain. Mathematical Problems in Engineering. 2011. Vol. 2012, no. 2012, pp.1-14.
https://search.emarefa.net/detail/BIM-1001640
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001640