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» Textural Features and Relevance Feedback for Image Retrieval
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CIVR
2004
Springer
166views Image Analysis» more  CIVR 2004»
15 years 5 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
KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 6 days ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
MM
2000
ACM
87views Multimedia» more  MM 2000»
15 years 4 months ago
Giving meanings to WWW images
Images are increasingly being embedded in HTML documents on the WWW. Such documents over the WWW essentially provides a rich source of image collection from which users can query....
Heng Tao Shen, Beng Chin Ooi, Kian-Lee Tan
ICIP
2001
IEEE
16 years 1 months ago
Region-based color image indexing and retrieval
In this paper a region-based color image indexing and retrieval algorithm is presented. As a basis for the indexing, a novel K-Means segmentation algorithm is used, modified so as...
Ioannis Kompatsiaris, Evagelia Triantafillou, Mich...
CLEF
2009
Springer
14 years 9 months ago
Clustering for Text and Image-Based Photo Retrieval at CLEF 2009
For this year's Image CLEF Photo Retrieval task, we have prepared 5 submission runs to help us assess the effectiveness of 1) image content-based retrieval, and 2) textbased ...
Qian Zhu, Diana Inkpen