Design of a content based multimedia retrieval system

Authors:
Yuk Ying Chung;Ka Yee Ng;Liwei Liu;Xiaoming Chen;Mohd Afizi Mohd Shukran;Eric H. C. Choi;David Yu Shi;Fang Chen
Affiliations:
School of Information Technologies, University of Sydney, NSW, Australia;School of Information Technologies, University of Sydney, NSW, Australia;School of Information Technologies, University of Sydney, NSW, Australia;School of Information Technologies, University of Sydney, NSW, Australia;School of Information Technologies, University of Sydney, NSW, Australia;Multimodal User Interface Program, National ICT for Australia, NSW, Australia;Multimodal User Interface Program, National ICT for Australia, NSW, Australia;Multimodal User Interface Program, National ICT for Australia, NSW, Australia
Venue:
CSECS'06 Proceedings of the 5th WSEAS International Conference on Circuits, Systems, Electronics, Control & Signal Processing
Year:
2006

Citing 3
Cited 1

Efficient and effective querying by image content

Journal of Intelligent Information Systems - Special issue: advances in visual information management systems
Audio Feature Extraction and Analysis for Scene Segmentation and Classification

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Content-Based Classification, Search, and Retrieval of Audio

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Abstract

The large and growing amount of digital data, and the development of the Internet highlight the need to develop sophisticated access methods that provide more than just simple text-based queries. Many programs have been developed with complex mathematics algorithms to allow the transformation of image or audio data in a way that enchances searching accuracy. However it becomes difficult when dealing with large sets of multimedia data. This paper proposes and demonstrates a Content Based Multimedia Retrieval System (CBMRS). The proposed CBMRS includes both video and audio retrieval systems. The Content Based Video Retrieval System (CBVRS) based on DCT and clustering algorithms. The audio retrieval system based on Mel-Frequency Cepstral Coefficients (MFCCs), the Dynamic Time Warping (DTW) algorithm and the Nearest Neighbor (NN) rule.