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» Metric-Based Shape Retrieval in Large Databases
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ICPR
2002
IEEE
14 years 6 months ago
Metric-Based Shape Retrieval in Large Databases
This paper examines the problem of database organization and retrieval based on computing metric pairwise distances. A low-dimensional Euclidean approximation of a high-dimensiona...
Thomas B. Sebastian, Benjamin B. Kimia
ISVC
2007
Springer
13 years 11 months ago
Content-Based Image Retrieval Using Shape and Depth from an Engineering Database
Content based image retrieval (CBIR), a technique which uses visual contents to search images from the large scale image databases, is an active area of research for the past decad...
Amit Jain, Ramanathan Muthuganapathy, Karthik Rama...
BTW
2009
Springer
240views Database» more  BTW 2009»
13 years 6 months ago
Efficient Adaptive Retrieval and Mining in Large Multimedia Databases
Abstract: Multimedia databases are increasingly common in science, business, entertainment and many other applications. Their size and high dimensionality of features are major cha...
Ira Assent
ICDE
2002
IEEE
209views Database» more  ICDE 2002»
14 years 6 months ago
Geometric-Similarity Retrieval in Large Image Bases
We propose a novel approach to shape-based image retrieval that builds upon a similarity criterion which is based on the average point set distance. Compared to traditional techni...
Ioannis Fudos, Leonidas Palios, Evaggelia Pitoura
CIVR
2006
Springer
172views Image Analysis» more  CIVR 2006»
13 years 9 months ago
Retrieving Shapes Efficiently by a Qualitative Shape Descriptor: The Scope Histogram
Abstract. Efficient image retrieval from large image databases is a challenging problem. In this paper we present a method offering constant time complexity for the comparison of t...
Arne Schuldt, Björn Gottfried, Otthein Herzog