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ICMCS
2000
IEEE
136views Multimedia» more  ICMCS 2000»
14 years 10 hour ago
Low-Level Motion Activity Features for Semantic Characterization of Video
Efficient methods of content characterization for the browsing, retrieval or filtering of vast amount of digital video content has become a necessity. Still, there is a gap betwee...
Kadir A. Peker, A. Aydin Alatan, Ali N. Akansu
COGCOM
2011
213views more  COGCOM 2011»
13 years 2 months ago
Spatiotemporal Features for Action Recognition and Salient Event Detection
Although the mechanisms of human visual understanding remain partially unclear, computational models inspired by existing knowledge on human vision have emerged and applied to seve...
Konstantinos Rapantzikos, Yannis S. Avrithis, Stef...
CVPR
2008
IEEE
14 years 9 months ago
Extracting a fluid dynamic texture and the background from video
Given the video of a still background occluded by a fluid dynamic texture (FDT), this paper addresses the problem of separating the video sequence into its two constituent layers....
Bernard Ghanem, Narendra Ahuja
ICIAR
2004
Springer
14 years 1 months ago
Automatic Text Extraction in Digital Video Based on Motion Analysis
It is well known that the text that appears in a video scene or is graphically added to it is an important source of semantic information for indexing and retrieval, notably in the...
Duarte Palma, João Ascenso, Fernando Pereir...
ICIP
2008
IEEE
14 years 2 months ago
Time-sequential extraction of motion layers
A new time-sequential approach for motion layer extraction is presented. We assume that the scene can be described by a set of layers associated to affine motion models. In one o...
Matthieu Fradet, Patrick Pérez, Philippe Ro...