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» Detecting Irregularities in Images and in Video
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CIVR
2010
Springer
427views Image Analysis» more  CIVR 2010»
13 years 11 months ago
An efficient method for face retrieval from large video datasets
The human face is one of the most important objects in videos since it provides rich information for spotting certain people of interest, such as government leaders in news video,...
Thao Ngoc Nguyen, Thanh Duc Ngo, Duy-Dinh Le, Shin...
ICIP
2004
IEEE
14 years 10 months ago
A motion field reconstruction scheme for smooth boundary video object segmentation
Motion segmentation is a classic and on-going research topic which is an important pre-stage for many video processes. The reliability of the motion field calculation directly dete...
Jean Gao, Ninad Thakoor, Sungyong Jung
MM
2004
ACM
188views Multimedia» more  MM 2004»
14 years 1 months ago
A new method to segment playfield and its applications in match analysis in sports video
With the growing popularity of digitized sports video, automatic analysis of them need be processed to facilitate semantic summarization and retrieval. Playfield plays the fundame...
Shuqiang Jiang, Qixiang Ye, Wen Gao, Tiejun Huang
ICCV
2011
IEEE
12 years 8 months ago
Learning Universal Multi-view Age Estimator by Video Contexts
Most existing techniques for analyzing face images assume that the faces are at near-frontal poses. Generalizing to non-frontal faces is often difficult, due to a dearth of groun...
Zheng Song, Bingbing Ni, Dong Guo, Terence Sim, Sh...
ACCV
2010
Springer
13 years 3 months ago
A Phase Discrepancy Analysis of Object Motion
Abstract. Detecting moving objects against dynamic backgrounds remains a challenge in computer vision and robotics. This paper presents a surprisingly simple algorithm to detect ob...
Bolei Zhou, Xiaodi Hou, Liqing Zhang