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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 6 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...
112
Voted
VISUAL
1999
Springer
15 years 4 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 2 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 4 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
83
Voted
CEE
2010
67views more  CEE 2010»
15 years 22 days 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