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» Content-Based Color Image Retrieval with Relevance Feedback
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DICTA
2008
15 years 5 months ago
Digital Image Retrieval Using Intermediate Semantic Features and Multistep Search
Recently, semantic image retrieval has attracted large amount of interest due to the rapid growth of digital image storage. However, existing approaches have severe limitations. I...
Dengsheng Zhang, Ying Liu, Jin Hou
140
Voted
BMVC
2010
15 years 1 months ago
Trans Media Relevance Feedback for Image Autoannotation
Automatic image annotation is an important tool for keyword-based image retrieval, providing a textual index for non-annotated images. Many image auto annotation methods are based...
Thomas Mensink, Jakob J. Verbeek, Gabriela Csurka
124
Voted
PRIS
2001
15 years 5 months ago
Relevance Feedback in Content-based Image Search
: Content-based image retrieval (CBIR) is a research area dedicated to address the retrieve and search multimedia documents for digital libraries. Relevance feedback is a powerful ...
HongJiang Zhang
147
Voted
MTA
2006
218views more  MTA 2006»
15 years 3 months ago
Object-based MPEG-2 video indexing and retrieval in a collaborative environment
In this paper, an object-based video retrieval methodology for search in large, heterogeneous video collections is presented. The proposed approach employs a real-time, compressed-...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
155
Voted
CIVR
2004
Springer
166views Image Analysis» more  CIVR 2004»
15 years 9 months ago
Object Segmentation and Ontologies for MPEG-2 Video Indexing and Retrieval
Abstract. A novel approach to object-based video indexing and retrieval is presented, employing an object segmentation algorithm for the real-time, unsupervised segmentation of com...
Vasileios Mezaris, Michael G. Strintzis