This paper presents an automatic video genre categorization scheme based on the hierarchical ontology on video genres. Ten computable spatio-temporal features are extracted to dis...
Xun Yuan, Wei Lai, Tao Mei, Xian-Sheng Hua, Xiuqin...
Thispaper presents a set of computationalfeatures originatingfrom our study of editing effects, motion, and color used in videos,for the task of automatic video categorization. Th...
Musical genres are categorical descriptions that are used to describe music. They are commonly used to structure the increasing amounts of music available in digital form on the W...
We present a novel genre-independent SVM framework for detecting scene changes in broadcast video. Our framework works on content from a diverse range of genres by allowing sets o...
Naveen Goela, Kevin W. Wilson, Feng Niu, Ajay Diva...
Categorization of online videos is often treated as a tag suggestion task; tags can be generated by individuals or by machine classification. In this paper, we suggest categoriza...