A survey on video genre classification techniques

Abstract

With recent advances in digital technologies the amount of multimedia data is increasing every day. Therefore, there is a strong demand for a procedure that classifies multimedia data according to users need. Video genre classification system is used to classify audio or video content into different genres. In this paper, various video genre classification literature is surveyed. It is observed that different audio and visual features are used for classification. Many classifiers such as support vector machine, K-nearest neighbor, neural network and gaussian mixture model are used. Applications and issues in video genre classification are discussed. Paper is ended with conclusion and an idea for future work.