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» Learning to compress images and videos
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CVPR
2001
IEEE
16 years 3 months ago
Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images
We present a two-step method to speed-up object detection systems in computer vision that use Support Vector Machines (SVMs) as classifiers. In a first step we perform feature red...
Bernd Heisele, Thomas Serre, Sayan Mukherjee, Toma...
ICIP
1998
IEEE
16 years 2 months ago
Reversing Motion Vector Fields
With the popular use of digital video (VCD, DVD, video conferencing, digital broadcasting system, digital TV and video editing), video streaming technology becomes much more impor...
Susie J. Wee
VCIP
2000
15 years 2 months ago
Optimal down-conversion in compressed DCT domain with minimal operations
A new down-conversion scheme in the DCT domain is presented, which can be used in decoders of DCT-compressed images and videos. The down-conversion in the transform domain general...
Myoung-Cheol Shin, In-Cheol Park
ICIP
2002
IEEE
16 years 3 months ago
Foveated image watermarking
The spatial resolution of the human visual system (HVS) decreases rapidly away from the point of fixation (foveation point). By exploiting this fact, we propose a watermarking app...
Alper Koz, A. Aydin Alatan
ECCV
2010
Springer
15 years 6 months ago
Convolutional learning of spatio-temporal features
Abstract. We address the problem of learning good features for understanding video data. We introduce a model that learns latent representations of image sequences from pairs of su...