Compact signature-based compressed video matching using dominant color profiles (DCP)

Bekhet, Saddam and Ahmed, Amr (2014) Compact signature-based compressed video matching using dominant color profiles (DCP). In: International Conference on Pattern Recognition, 24-28 August 2014, Stockholm.

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Item Type:Conference or Workshop contribution (Presentation)
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Abstract

This paper presents a novel technique for efficient and generic matching of compressed video shots, through compact signatures extracted directly without decompression. The compact signature is based on the Dominant Color Profile (DCP); a sequence of dominant colors extracted and arranged as a sequence of spikes in analogy to the human retinal representation of a scene. The proposed signature represents a given video shot with ~490 integer values, facilitating for real-time processing to retrieve a maximum set of matching videos. The technique is able to work directly on MPEG compressed videos, without full decompression, as it utilizes the DC-image as a base for extracting color features. The DC-image has a highly reduced size, while retaining most of visual aspects, and provides high performance compared to the full I-frame. The experiments and results on various standard datasets show the promising performance, both the accuracy and the efficient computation complexity, of the proposed technique.

Keywords:Video matching, DC-image, Video similarity, Dominant color profile, compressed video
Subjects:G Mathematical and Computer Sciences > G720 Knowledge Representation
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
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ID Code:14853
Deposited On:10 Sep 2014 16:34

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