E. Spyrou, G. Koumoulos, Y. Avrithis and S. Kollias |
Using Local Region Semantics for Concept Detection in Video |
1st International Conference on Semantics And digital Media Technology (SAMT 2006), Athens, Greece |
ABSTRACT
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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.
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06 December , 2006 |
E. Spyrou, G. Koumoulos, Y. Avrithis and S. Kollias, "Using Local Region Semantics for Concept Detection in Video", 1st International Conference on Semantics And digital Media Technology (SAMT 2006), Athens, Greece |
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