Title :
Research on bag of audio words algorithm in the violent videos classification
Author :
Xinghao Jiang ; Tanfeng Sun ; Rongjie Li ; Bing Feng ; GuangLei Fu ; Shilin Wang ; Xinghao Jiang ; Tanfeng Sun
Abstract :
In this paper, a new method to identify the violent videos by the bag of audio words is introduced. The MPEG-7 audio descriptors are firstly extracted, including the low level features such as AudioSpectrumCentroid and AudioSpectrum-Spread, etc. The audio words are then built according to the MPEG-7 high level descriptor, the AudioSighnature, which is considered as the “fingerprint” of the audio stream. The support vector machine is used to classify the feature vectors into two classes, i.e. the violent and non-violent videos. The experiment results demonstrate that our method can achieve good recall accuracy.
Keywords :
audio signal processing; audio streaming; feature extraction; support vector machines; AudioSighnature; AudioSpectrum-Spread; AudioSpectrumCentroid; MPEG-7 audio descriptors; MPEG-7 high level descriptor; audio stream; audio words algorithm; fingerprint; support vector machine; violent videos classification; Accuracy; Feature extraction; Support vector machines; Training; Transform coding; Videos; Visualization; MPEG-7 audio descriptors; bag of words; support vector machine; violent video; weighting scheme;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5648004