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» Learning to compress images and videos
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ICIP
1999
IEEE
14 years 10 months ago
Video Sequence Learning and Recognition Via Dynamic Som
Information contained in the video sequences is crucial for an autonomous robot or a computer to learn and respond to its surrounding environment. In the past, robot vision is mai...
Qiong Liu, Yong Rui, Thomas S. Huang, Stephen E. L...
ICMCS
2009
IEEE
158views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Accurate alignment of presentation slides with educational video
Spatio-temporal alignment of electronic slides with corresponding presentation video opens up a number of possibilities for making the instructional content more accessible and un...
Quanfu Fan, Kobus Barnard, Arnon Amir, Alon Efrat
CVPR
2012
IEEE
11 years 11 months ago
Learning object class detectors from weakly annotated video
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...
NIPS
2000
13 years 9 months ago
Machine Learning for Video-Based Rendering
We present techniques for rendering and animation of realistic scenes by analyzing and training on short video sequences. This work extends the new paradigm for computer animation...
Arno Schödl, Irfan A. Essa
ICIP
2002
IEEE
14 years 10 months ago
Reduced DCT approximations for low bit rate coding
Transform approximations are explored for speeding up the software compression of images and video. Faster approximations are used to replace the regular DCT whenever only few DCT...
Ricardo L. de Queiroz