In this work, we focus on two aspects of the comparison of video shots. We present a new approach to extract a variable number of key frames from a shot, by the use of a hierarchical clustering with automatic level selection, in order to provide optimal allocation of features on different parts of the shot. We then employ the Mallows distance as an effective technique to compare the discrete distributions of features, independently from the features selected for the specific application. Results and comparisons on a soccer documentary video are provided.
Video Shots Comparison using the Mallows Distance / Grana, Costantino; Borghesani, Daniele; Cucchiara, Rita. - STAMPA. - (2007), pp. 49-53. (Intervento presentato al convegno 1st International Workshop on Multimedia Data Mining and Management tenutosi a Regensburg, Germany nel Sep 3) [10.1109/DEXA.2007.142].
Video Shots Comparison using the Mallows Distance
GRANA, Costantino;BORGHESANI, Daniele;CUCCHIARA, Rita
2007
Abstract
In this work, we focus on two aspects of the comparison of video shots. We present a new approach to extract a variable number of key frames from a shot, by the use of a hierarchical clustering with automatic level selection, in order to provide optimal allocation of features on different parts of the shot. We then employ the Mallows distance as an effective technique to compare the discrete distributions of features, independently from the features selected for the specific application. Results and comparisons on a soccer documentary video are provided.
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