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» Image Ranking and Retrieval Based on Multi-Attribute Queries
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ISBI
2009
IEEE
16 years 15 days ago
Bridging the Semantic Gap Using Ranking Svm for Image Retrieval
One of the main challenges for Content-Based Image Retrieval (CBIR) is to achieve meaningful mappings between the high-level semantic concepts and the low-level visual features in...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
CVPR
2007
IEEE
16 years 7 months ago
Object retrieval with large vocabularies and fast spatial matching
In this paper, we present a large-scale object retrieval system. The user supplies a query object by selecting a region of a query image, and the system returns a ranked list of i...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
IKE
2003
15 years 7 months ago
A Tree-Based inverted File for Fast Ranked-Document Retrieval
Inverted files are widely used to index documents in large-scale information retrieval systems. An inverted file consists of posting lists, which can be stored in either a documen...
Wann-Yun Shieh, Tien-Fu Chen, Chung-Ping Chung
ESWA
2008
127views more  ESWA 2008»
15 years 5 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
AAAI
2007
15 years 8 months ago
TableRank: A Ranking Algorithm for Table Search and Retrieval
Tables are ubiquitous in web pages and scientific documents. With the explosive development of the web, tables have become a valuable information repository. Therefore, effective...
Ying Liu, Kun Bai, Prasenjit Mitra, C. Lee Giles