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» Model Based Object Recognition by Robust Information Fusion
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KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 9 months ago
A maximum entropy web recommendation system: combining collaborative and content features
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
ICMCS
2008
IEEE
206views Multimedia» more  ICMCS 2008»
14 years 3 months ago
Redundant motion vectors for improved error resilience in H.264/AVC coded video
This proposal presents a new error robust strategy for encoding redundant pictures for the H.264/AVC standard. The method is based on providing motion vectors as redundant data, i...
Maheshi B. Dissanayake, Chaminda T. E. R. Hewage, ...
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
13 years 10 months ago
A probabilistic ranking framework using unobservable binary events for video search
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
CGIM
2003
13 years 10 months ago
Snake for Band Edge Extraction and Its Applications
A novel snake model suitable for edge extraction of bandshape objects is presented in this paper. Based on the proposed model, an edge tracking system, EdgeTrak, has been develope...
Min Li, Chandra Kambhamettu, Maureen C. Stone
SIGIR
2005
ACM
14 years 2 months ago
A database centric view of semantic image annotation and retrieval
We introduce a new model for semantic annotation and retrieval from image databases. The new model is based on a probabilistic formulation that poses annotation and retrieval as c...
Gustavo Carneiro, Nuno Vasconcelos