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» Detecting Irregularities in Images and in Video
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ICIP
1999
IEEE
14 years 9 months ago
Face Detection for Pseudo-Semantic Labeling in Video Databases
Pseudo-semantic labeling represents a novel approach for automatic content description of video. This information can be used in the context of a video database to improve browsin...
Alberto Albiol, Charles A. Bouman, Edward J. Delp
SCIA
2009
Springer
130views Image Analysis» more  SCIA 2009»
14 years 1 months ago
Improving Automatic Video Retrieval with Semantic Concept Detection
We study the usefulness of intermediate semantic concepts in bridging the semantic gap in automatic video retrieval. The results of a series of large-scale retrieval experiments, w...
Markus Koskela, Mats Sjöberg, Jorma Laaksonen
PKDD
2007
Springer
134views Data Mining» more  PKDD 2007»
14 years 1 months ago
Polyp Detection in Endoscopic Video Using SVMs
Colon cancer is one of the most common cancers in developed countries. Most of these cancers start with a polyp. Polyps are easily detected by physicians. Our goal is to mimic this...
Luís A. Alexandre, João Casteleiro, ...
ICPR
2000
IEEE
14 years 8 months ago
Robust Extraction of Text in Video
Despite advances in the archiving of digital video, we are still unable to efficiently search and retrieve the portions that interest us. Video indexing by shot segmentation has b...
Sameer Antani, David J. Crandall, Rangachar Kastur...
ICIP
2003
IEEE
14 years 9 months ago
Adaptive rule-based recognition of events in video sequences
Knowledge-based fuzzy inference and neural learning are used in this paper in order to model the event recognition task in semantic video analysis. The advantage of their use is t...
Vassilis Tzouvaras, Gabriel Tsechpenakis, Giorgos ...