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» Learning to compress images and videos
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CVPR
2011
IEEE
14 years 5 months ago
Learning and Matching Multiscale Template Descriptors for Real-Time Detection, Localization and Tracking
We describe a system to learn an object template from a video stream, and localize and track the corresponding object in live video. The template is decomposed into a number of lo...
Taehee Lee, Stefano Soatto
ICIP
2004
IEEE
15 years 11 months ago
An efficient content-adaptive MC 3D-DWT with enhanced spatial and temporal scalability
In this paper we propose a novel, adaptive method for motion compensated 3D wavelet transformation (MC 3D-DWT) of video. The proposed method overcomes problems of ghosting and non...
Nagita Mehrseresht, David Taubman
IVC
2006
97views more  IVC 2006»
14 years 10 months ago
Dominant colour extraction in DCT domain
As most of MPEG and JPEG compression standards are DCT-based, we propose a simple, low-cost and fast algorithm to extract dominant colour features directly in DCT domain without i...
Jianmin Jiang, Ying Weng, Pengjie Li
ICIP
2010
IEEE
14 years 7 months ago
A scalable multi-view audiovisual entertainment framework with content-aware distribution
Delivery of 3D immersive entertainment to the home remains a highly challenging problem due to the large amount of data involved, and the need to support a wide variety of differe...
Erhan Ekmekcioglu, Banu Gunel, Maheshi B. Dissanay...
GECCO
2010
Springer
181views Optimization» more  GECCO 2010»
15 years 2 months ago
Evolving neural networks in compressed weight space
We propose a new indirect encoding scheme for neural networks in which the weight matrices are represented in the frequency domain by sets of Fourier coefficients. This scheme exp...
Jan Koutnik, Faustino J. Gomez, Jürgen Schmid...