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  1. Proceedings of the 2nd international workshop on Computer vision meets databases (CVDB '05)
  2. Multimedia applications: beyond similarity searches
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Similarity search in high-dimensional datasets
Joint exploitation of multiple media from multimedia to databases
EXTENT: fusing context, content, and semantic ontology for photo annotation
A live multimedia stream querying system
On the impact of outliers on high-dimensional data analysis methods for face recognition
Multimedia applications: beyond similarity searches
Optimizing progressive query-by-example over pre-clustered large image databases
A case-study of scoring schemes for the PvS-index
A fast shot matching strategy for detecting duplicate sequences in a television stream
Using pivots to index for support vector machine queries
Data embedding techniques and applications
Persistent clustered main memory index for accelerating k-NN queries on high dimensional datasets

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Multimedia applications: beyond similarity searches

Content Provider ACM Digital Library
Author Gupta, Amarnath Smith, John Goldstein, Jonathan Shaft, Uri Doermann, David Ratha, Nalini
Abstract Relational database systems solve many of the traditional problems for processing of structured data. However, unstructured data in the form of images, video, audio and multimedia is growing at a tremendous rate and introduces new requirements that are not met by today's database engines. One well known example is content-based retrieval that involves similarity searching and indexing in high-dimensional feature spaces. In addition there has been much recent focus on applying machine learning techniques involving semantics modeling, spatio-temporal indexing, multi-modal (audio-, visual-, textual-) integration and relevance feedback searching.
Starting Page 71
Ending Page 72
Page Count 2
File Format PDF
ISBN 1595931511
DOI 10.1145/1160939.1160957
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2005-06-17
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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