Video shot boundary detection using motion activity descriptor
Abdelati Malek Amel, Ben Abdelali Abdessalem, Mtibaa Abdellatif
TL;DR
This paper investigates the use of a motion activity descriptor for real-time shot boundary detection in videos, utilizing the ARPS algorithm to extract motion information in uncompressed video sequences.
Contribution
It validates the effectiveness of the motion activity descriptor for shot boundary detection in real-time applications using the ARPS algorithm.
Findings
Effective shot boundary detection in real-time
High performance with uncompressed video sequences
Validation across different video types
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.
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Taxonomy
TopicsVideo Analysis and Summarization · Advanced Vision and Imaging · Video Coding and Compression Technologies