A simple and efficient video image clustering algorithm for person specific query and image retrieval

Authors:
Md. Shafaeat Hossain;Khandaker A. Rahman;Md. Hasanuzzaman;Vir V. Phoha
Affiliations:
Louisiana Tech University, Ruston, LA;Louisiana Tech University, Ruston, LA;University of Dhaka, Dhaka, Bangladesh;Louisiana Tech University, Ruston, LA
Venue:
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Year:
2009

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Abstract

Video image clustering is the backbone of person specific query and image retrieval from a video sequence. This paper presents a video image clustering algorithm based on the human face. Clustering in different video streams has been achieved in unsupervised manner where no prior knowledge about the input video clip is required. For face detection, multi-resolution based template matching and skin color segmentation strategies have been employed. In order to evaluate the performance of the proposed method, 11 video clips of various durations were used. Experimental results demonstrate that the performance of the method with respect to precision and recall rate are quite satisfactory and in worst case video image sequences the figures are about 83% and 79%, respectively.