DocumentCode
1596263
Title
Perceptual Relevance Measure for Generic Shape Coding
Author
Lai, Zhongyuan ; Liu, Wenyu ; Zhang, Yuan
Author_Institution
Dept. of Electron. & Inf. Eng., Huazhong Univ. of Sci. & Technol., Wuhan
fYear
2009
Firstpage
453
Lastpage
453
Abstract
Approximation metric is a significant factor for subjective quality improvement of polygonal vertex-based shape codec. Usually this metric is defined by absolute distance measure (ADM). ADM only considers the shortest absolute distance from candidate vertices on the original object contour segment to corresponding approximating line segment and ignores other visual characteristics of the contour segment. Thus it cannot describe the original contour appropriately in visual aspects. As a result, it may severely degrade the subjective reconstruction quality, especially for contours with sharp salience. We propose perceptual relevance measure (PRM) to address this problem. We first describe the original relative position relationship between candidate vertex C and approximating line segment AB by three parameters having definite visual meanings, namely turn angle of and lengths of two adjacent line segments a and b. And then we provide the following three visual properties to find the exactly expression of PRM.
Keywords
approximation theory; image coding; image segmentation; absolute distance measure; adjacent line segments; generic shape coding; object contour segment; perceptual relevance measure; polygonal vertex-based shape codec; subjective reconstruction quality; Codecs; Data compression; Data engineering; Degradation; MPEG 4 Standard; MPEG 7 Standard; Nonlinear distortion; Rate-distortion; Shape measurement; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Compression Conference, 2009. DCC '09.
Conference_Location
Snowbird, UT
ISSN
1068-0314
Print_ISBN
978-1-4244-3753-5
Type
conf
DOI
10.1109/DCC.2009.14
Filename
4976507
Link To Document