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» Color and Texture Feature For Content Based Image Retrieval
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ICIP
2002
IEEE
14 years 12 months ago
Content-based image retrieval using stochastic paintbrush transformation
Herein, we propose a new content based image retrieval method. The novelty of our approach lies in the applied image similarity measure : Unlike traditional features like color, t...
Zoltan Kato, Xiaowen Ji, Tamas Sziranyi, Zoltan To...
CSIE
2009
IEEE
14 years 5 months ago
Evaluating Clustering Algorithms: Cluster Quality and Feature Selection in Content-Based Image Clustering
The paper presents an evaluation of four clustering algorithms: k-means, average linkage, complete linkage, and Ward’s method, with the latter three being different hierarchical...
Mesfin Sileshi, Björn Gambäck
CVIU
2004
155views more  CVIU 2004»
13 years 10 months ago
Object of interest-based visual navigation, retrieval, and semantic content identification system
This study presents a content-based image retrieval system IMALBUM based on local region of interest called object of interest (OOI). Each segmented or user-selected OOI is indexe...
Khalid Idrissi, Guillaume Lavoué, Julien Ri...
SSPR
1998
Springer
14 years 2 months ago
Semantic Content Based Image Retrieval Using Object-Process Diagrams
Abstract. The increase in accessability to on-line visual data has promoted the interest in browsing and retrieval of images from Image Databases. Current approaches assume either ...
Dov Dori, Hagit Zabrodsky Hel-Or
JUCS
2002
231views more  JUCS 2002»
13 years 10 months ago
Efficient Content-Based and Metadata Retrieval in Image Database
: Managing image data in a database system using metadata has been practiced since the last two decades. However, describing an image fully and adequately with metadata is practica...
Solomon Atnafu, Richard Chbeir, Lionel Brunie