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DAGM
2007
Springer
13 years 11 months ago
How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...
Wolf Kienzle, Bernhard Schölkopf, Felix A. Wi...
ICCV
2009
IEEE
14 years 1 months ago
Joint Pose Estimator and Feature Learning for Object Detection
A new learning strategy for object detection is presented. The proposed scheme forgoes the need to train a collection of detectors dedicated to homogeneous families of poses, an...
Karim Ali, Francois Fleuret, David Hasler and Pasc...
ICMCS
2007
IEEE
161views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Genre-Adaptive Near-Duplicate Video Segment Detection
This paper proposes a fast and accurate method to detect all nearduplicate segments in a video stream. To reduce the computation time while ensuring the detection accuracy equival...
Ichiro Ide, Kazuhiro Noda, Tomokazu Takahashi, Hir...
CIVR
2009
Springer
130views Image Analysis» more  CIVR 2009»
14 years 2 months ago
Exploring inter-concept relationship with context space for semantic video indexing
Semantic concept detectors are often individually and independently developed. Using peripherally related concepts for leveraging the power of joint detection, which is referred t...
Xiao-Yong Wei, Yu-Gang Jiang, Chong-Wah Ngo
PAMI
2011
13 years 2 months ago
Learning a Family of Detectors via Multiplicative Kernels
—Object detection is challenging when the object class exhibits large within-class variations. In this work, we show that foreground-background classification (detection) and wit...
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan ...