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Performance of MPEG-7 spectral basis representations for retrieval of home video abstract
Citation key 0793Kim2004
Author Hyoung-Gook Kim and Thomas Sikora
Title of Book IS&T/SPIE's Electronic Imaging 2004
Year 2004
Address San Jose, CA, USA
Month jan
Abstract In this paper, we present a classification and retrieval technique targeted for retrieval of home video abstract using dimension-reduced, decorrelated spectral features of audio content. The feature extraction based on MPEG-7 descriptors consists of three main stages: Normalized Audio Spectrum Envelope (NASE), basis decomposition algorithm and basis projection, obtained by multiplying the NASE with a set of extracted basis functions. A classifier based on continuous hidden Markov models is applied. For retrieval with accurate performance the system consists of a two-level hierarchy method using speech recognition and sound classification. For the measure of the performance we compare the classification results of MPEG-7 standardized features vs. Mel-scale Frequency Cepstrum Coefficients (MFCC). Results show that the MFCC features yield better performance compared to MPEG-7 features.
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