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» Learning to compress images and videos
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ICVGIP
2004
14 years 11 months ago
Improved Cut-Based Foreground Identification
Automatic content based schemes, as opposed to those with human endeavor, have become important as users attempt to organize massive data presented in the form of multimedia data ...
Sharat Chandran, Satwik Hebbar, Vishal Mamania, Ab...
ICIP
2009
IEEE
14 years 7 months ago
Incremental sparse saliency detection
By the guidance of attention, human visual system is able to locate objects of interest in complex scene. We propose a new visual saliency detection model for both image and video...
Yin Li, Yue Zhou, Lei Xu, Xiaochao Yang, Jie Yang
ICIP
2009
IEEE
14 years 7 months ago
Towards a comprehensive RVC VTL: A CAL description of an efficient AVC baseline encoder
The Video Tool Library (VTL) is one of the major normative components of the Reconfigurable Video Coding (RVC) standard. It specifies the set of functional units (FUs) that may be...
Hussein Aman-Allah, Ehab Hanna, Karim Maarouf, Iha...
SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
14 years 11 months ago
A Compression Based Distance Measure for Texture
The analysis of texture is an important subroutine in application areas as diverse as biology, medicine, robotics, and forensic science. While the last three decades have seen ext...
Bilson J. L. Campana, Eamonn J. Keogh
MVA
2007
150views Computer Vision» more  MVA 2007»
14 years 11 months ago
Detecting the Degree of Anomal in Security Video
We have developed a method that can discriminate anomalous image sequences for more efficiently utilizing security videos. To match the wide popularity of security cameras, the me...
Kyoko Sudo, Tatsuya Osawa, Xiaojun Wu, Kaoru Wakab...