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» Image Ranking and Retrieval Based on Multi-Attribute Queries
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SCIA
2005
Springer
220views Image Analysis» more  SCIA 2005»
15 years 11 months ago
Block-Based Methods for Image Retrieval Using Local Binary Patterns
In this paper, two block-based texture methods are proposed for content-based image retrieval (CBIR). The approaches use the Local Binary Pattern (LBP) texture feature as the sourc...
Valtteri Takala, Timo Ahonen, Matti Pietikäin...
VISUAL
1999
Springer
15 years 10 months ago
Relevance Feedback and Term Weighting Schemes for Content-Based Image Retrieval
This paper describes the application of techniques derived from text retrieval research to the content-based querying of image databases. Speci cally, the use of inverted les, fre...
David Squire, Wolfgang Müller 0002, Henning M...
ICIP
2001
IEEE
16 years 7 months ago
Color image coding, indexing and retrieval using binary space partitioning tree
This paper presents a unified approach to colour image coding, content-based indexing, and retrieval for database applications. The binary space partitioning (BSP) tree, tradition...
Guoping Qiu, S. Sudirman
DGCI
2000
Springer
15 years 9 months ago
An Efficient Shape-Based Approach to Image Retrieval
We consider the problem of finding the best match for a given query shape among candidate shapes stored in a shape base. This is central to a wide range of applications, such as, d...
Ioannis Fudos, Leonidas Palios
CEE
2010
67views more  CEE 2010»
15 years 6 months ago
Series feature aggregation for content-based image retrieval
Feature aggregation is a critical technique in content-based image retrieval systems that employ multiple visual features to characterize image content. One problem in feature aggr...
Jun Zhang, Lei Ye