Using Local Region Semantics for Concept Detection in Video.
Evaggelos Spyrou, George Koumoulos, Yannis Avrithis, Stefanos Kollias · 2006
Abstract — This paper presents a framework for the detection of semantic features in video sequences. Low-level feature extraction is performed on the keyframes of the shots and a “feature vector ” including color and texture features is formed. A region “thesaurus ” that contains all the high-level features is constructed using a subtractive clustering method.Then, a “model vector” that contains the distances from each region type is formed and a SVM detector is trained for each semantic concept. Experiments were performed using TRECVID 2005 development data. Index Terms — semantic analysis, thesaurus, SVM, TRECVID I.