A survey on optimizing video and audio query retrieval in multimedia databases

With the advanced growth of the Internet, people are expecting systems to support variety of medias. This has therefore leads to new challenges such as the requirements to have new storage, retrieval and presentation of data. In addition, as the sizes continue to grow and the data become more and mo...

Full description

Saved in:
Bibliographic Details
Main Authors: Rasli, R M, Su-Cheng Haw, Chee-Onn Wong
Format: Conference Proceeding
Language:English
Subjects:
Biological system modeling
Continuous wavelet transforms
Indexes
Metadata
Multimedia communication
Multimedia Databases
Parallel processing
Query optimization techniques
Query Processing
Semantic based retrieval and Content based retrieval
Vocabulary
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:With the advanced growth of the Internet, people are expecting systems to support variety of medias. This has therefore leads to new challenges such as the requirements to have new storage, retrieval and presentation of data. In addition, as the sizes continue to grow and the data become more and more complex, it is increasingly crucial and challenging to manage and analyze large amount of multimedia datasets effectively. In this paper, we suggest a query optimization classification scheme and survey the existing optimization techniques in multimedia databases. We also analyze how each approach works, the advantages and disadvantages of each approach focusing especially on video and audio data. The finding will reveal the best technique and serve as the guideline for young researchers.
ISSN:2154-7491
2154-7505
DOI:10.1109/ICACTE.2010.5579154