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DGO
2003
233views Education» more  DGO 2003»
13 years 8 months ago
SemView: A Semantic-sensitive Distributed Image Retrieval System
State-of-art image retrieval techniques have been developed to support high-level (semantics) querying and browsing of images. For certain user queries, it is also very important ...
Wei Wang, Yimin Wu, Aidong Zhang
VLDB
1994
ACM
132views Database» more  VLDB 1994»
13 years 11 months ago
Modelling and Querying Video Data
As video data is penetrating many information systems the need for database support for video data evolves. In this paper we present a generic data model that captures the structu...
Rune Hjelsvold, Roger Midtstraum
ICDE
2006
IEEE
191views Database» more  ICDE 2006»
14 years 8 months ago
Query Decomposition: A Multiple Neighborhood Approach to Relevance Feedback Processing in Content-based Image Retrieval
Today's Content-Based Image Retrieval (CBIR) techniques are based on the "k-nearest neighbors" (kNN) model. They retrieve images from a single neighborhood using lo...
Kien A. Hua, Ning Yu, Danzhou Liu
ERCIMDL
2005
Springer
82views Education» more  ERCIMDL 2005»
14 years 1 months ago
A Native XML Database Supporting Approximate Match Search
XML is becoming the standard representation format for metadata. Metadata for multimedia documents, as for instance MPEG-7, require approximate match search functionalities to be s...
Giuseppe Amato, Franca Debole
SIGMOD
1996
ACM
154views Database» more  SIGMOD 1996»
13 years 11 months ago
METU Interoperable Database System
METU INteroperable Database System (MIND) is a multidatabase system that aims at achieving interoperability among heterogeneous, federated DBMSs. MIND architecture is based on OMG...
Asuman Dogac, Ugur Halici, Ebru Kilic, Gökhan...