Video shot boundary detection using motion activity descriptor

Abstract —This paper focus on the study of the motion activity descriptor for shot boundary detection in video sequences. We interest in the validation of this descriptor in the aim of its real time implementation with reasonable high performances in shot boundary detection. The motion activity information is extracted in uncompressed domain based on adaptive rood pattern search (ARPS) algorithm. In this context, the motion activity descriptor was applied for different video sequence. Index Terms —Motion activity, MPEG-7, video segmentation, ARPS, Block-matching. —————————— —————————— 1. I NTRODUCTION n recent years, the development of software and hardware technology has enabled the creation of a large amount of digital video content. Video segmentation based on motion [1] is a new research area. Motion is a salient feature in video, in addition to other typical image features such as color, shape and texture. Video shot boundary detection is a fundamental step in video indexing and retrieval, and in general video data management. The general objectives are to segment a given video sequence into its constituent shots, and to identify and classify the different shot transitions in the sequence [10]. Different algorithms have been proposed, for instance, based on simple color histograms [11, 12], pixel color differences [13], color ratio histograms [14], edges [15], and motion [16– 18]. In this work, we study the problem of video partitioning using a motion-based approach. In this study we interest in the validation of the motion activity descriptor in the aim of its possible real time implementation. We have applied this descriptor for different video sequence. We have considered its application for shot boundary detection. The rest of this paper is organized as follows: in section 2, we present the motion activity descriptor specification. In section 3 we focus on the study of the motion activity descriptor for shot boundary detection in video sequences. The different experimentations and the evolution results of the motion activity are presented in section 4.