This paper presents a method to classify audio-video data into one of seven classes: advertisement, cartoon, news, movie, and songs. Automatic audio-video classification is very useful to audio-video indexing, content based audio-video retrieval. Mel frequency cepstral coefficients are used to characterize the audio data. The color histogram features extracted from the images in the video clips...

This paper presents a method to classify audio-video data into one of five classes: advertisement, cartoon, news, movie and songs. Automatic audio-video classification is very useful to audio-video indexing, content based audio-video retrieval. Mel frequency cepstral coefficients are used to characterize the audio data. The color histogram features extracted from the images in the video clips a...

Organization of video databases is becoming difficult task as the amount of video content increases. Video classification based on the content of videos can significantly increase the speed of tasks such as browsing and searching for a particular video in a database. In this paper, a content-based videos classification system for the classes indoor and outdoor is presented. The system is intend...

News video concepts based event classification is a system ,where the classification of videos will be done on the basis of video contents. For such classification first key frames will be extracted from the video and these key frames will be processed for Feature Extraction. In this system Basically three features will be extractedaudio, Visual and Motion. Using these extracted features system...

In this paper, we propose multi-layer objectionable video classification system using local information and global information simultaneously. We also analyze the additional information of video files through the Internet for use in the objectionable video classification from a statistical point of view. The proposed system consists of 3 analyzers and uses MPEG-7 visual descriptors as features ...