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ICPR
2000
IEEE
14 years 5 months ago
Extraction of Relevant Information from Document Images Using Measures of Visual Attention
This paper describes an approach to attention based layout segmentation using general principles of the human visual perception to achieve this goal. The text is considered as tex...
Gerd Maderlechner, Angela Schreyer, Peter Suda
MM
2005
ACM
178views Multimedia» more  MM 2005»
13 years 10 months ago
Attention region selection with information from professional digital camera
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Song Liu, Liang-Tien Chia, Deepu Rajan
CIVR
2006
Springer
186views Image Analysis» more  CIVR 2006»
13 years 8 months ago
Leveraging Active Learning for Relevance Feedback Using an Information Theoretic Diversity Measure
Abstract. Interactively learning from a small sample of unlabeled examples is an enormously challenging task. Relevance feedback and more recently active learning are two standard ...
Charlie K. Dagli, ShyamSundar Rajaram, Thomas S. H...
PAMI
2006
229views more  PAMI 2006»
13 years 4 months ago
A Coherent Computational Approach to Model Bottom-Up Visual Attention
Visual attention is a mechanism which filters out redundant visual information and detects the most relevant parts of our visual field. Automatic determination of the most visually...
Olivier Le Meur, Patrick Le Callet, Dominique Barb...
DOCENG
2009
ACM
13 years 11 months ago
Web document text and images extraction using DOM analysis and natural language processing
: © Web Document Text and Images Extraction using DOM Analysis and Natural Language Processing Parag Mulendra Joshi, Sam Liu HP Laboratories HPL-2009-187 Web page text extraction,...
Parag Mulendra Joshi, Sam Liu