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MIR
2004
ACM
176views Multimedia» more  MIR 2004»
13 years 10 months ago
Analysing the performance of visual, concept and text features in content-based video retrieval
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...
Mika Rautiainen, Timo Ojala, Tapio Seppänen
ICRA
2009
IEEE
121views Robotics» more  ICRA 2009»
13 years 11 months ago
Learning sequential visual attention control through dynamic state space discretization
² Similar to humans and primates, artificial creatures like robots are limited in terms of allocation of their resources to huge sensory and perceptual information. Serial process...
Ali Borji, Majid Nili Ahmadabadi, Babak Nadjar Ara...
ASIAN
2004
Springer
140views Algorithms» more  ASIAN 2004»
13 years 10 months ago
A Novel Texture Synthesis Based Algorithm for Object Removal in Photographs
Natural images and photographs sometimes may contain stains or undesired objects covering significant portions of the images. Inpainting is a method to fill in such portions using ...
Feng Tang, Yiting Ying, Jin Wang, Qunsheng Peng
ICDE
2006
IEEE
191views Database» more  ICDE 2006»
14 years 6 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
ICMCS
2008
IEEE
173views Multimedia» more  ICMCS 2008»
13 years 11 months ago
Automatic video annotation through search and mining
Conventional approaches to video annotation predominantly focus on supervised identification of a limited set of concepts, while unsupervised annotation with infinite vocabulary...
Emily Moxley, Tao Mei, Xian-Sheng Hua, Wei-Ying Ma...