Presentation | 2006-02-20 A study on accurate audiovisual indexing using audio signal Naoki NITANDA, Miki HASEYAMA, Hideo KITAJIMA, |
---|---|
PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | An accurate audiovisual indexing method is proposed in this paper. The proposed method classifies the audio signal into the following five audio classes: silence, speech, music, speech with music background, and speech with noise background. For this audio classification, both principal component analysis (PCA) and fuzzy c-means clustering (FCM) are utilized. The effective features can be theoretically extracted by using PCA, and the reliability of the clustering results can be measured by using FCM. Moreover, combination use of the proposed method and video segmentation technique, which can accurately detect the segmentation point, make it possible to measure the similarity between two adjacent shots. According to the similarity, the scene transition can be accurately detected. Experimental results obtained by the combination approach to actual audiovisual materials are shown to verify its effectiveness. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | audiovisual / indexing / principal component analysis / fuzzy c-means clustering |
Paper # | ITS2005-60,IE2005-267 |
Date of Issue |
Conference Information | |
Committee | ITS |
---|---|
Conference Date | 2006/2/13(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | |
Vice Chair | |
Secretary | |
Assistant |
Paper Information | |
Registration To | Intelligent Transport Systems Technology (ITS) |
---|---|
Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A study on accurate audiovisual indexing using audio signal |
Sub Title (in English) | |
Keyword(1) | audiovisual |
Keyword(2) | indexing |
Keyword(3) | principal component analysis |
Keyword(4) | fuzzy c-means clustering |
1st Author's Name | Naoki NITANDA |
1st Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University() |
2nd Author's Name | Miki HASEYAMA |
2nd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
3rd Author's Name | Hideo KITAJIMA |
3rd Author's Affiliation | Graduate School of Information Science and Technology, Hokkaido University |
Date | 2006-02-20 |
Paper # | ITS2005-60,IE2005-267 |
Volume (vol) | vol.105 |
Number (no) | 608 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |