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Compressed video matching: Frame-to-frame revisited

Bekhet, Saddam, Ahmed, Amr, Altadmri, Amjad, Hunter, Andrew (2015) Compressed video matching: Frame-to-frame revisited. Multimedia Tools and Applications, . pp. 1-16. ISSN 1380-7501. E-ISSN 1573-7721. (doi:10.1007/s11042-015-2887-8) (KAR id:50561)


This paper presents an improved frame-to-frame (F-2-F) compressed video matching technique based on local features extracted from reduced size images, in contrast with previous F-2-F techniques that utilized global features extracted from full size frames. The revised technique addresses both accuracy and computational cost issues of the traditional F-2-F approach. Accuracy is improved through using local features, while computational cost issue is addressed through extracting those local features from reduced size images. For compressed videos, the DC-image sequence, without full decompression, is used. Utilizing such small size images (DC-images) as a base for the proposed work is important, as it pushes the traditional F-2-F from off-line to real-time operational mode. The proposed technique involves addressing an important problem: namely the extraction of enough local features from such a small size images to achieve robust matching. The relevant arguments and supporting evidences for the proposed technique are presented. Experimental results and evaluation, on multiple challenging datasets, show considerable computational time improvements for the proposed technique accompanied by a comparable or higher accuracy than state-of-the-art related techniques.

Item Type: Article
DOI/Identification number: 10.1007/s11042-015-2887-8
Uncontrolled keywords: F-2-F matching; Compressed domain; Local features; Trajectories; SIFT; MPEG; DC-image
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.575 Multimedia systems
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Amjad Altadmri
Date Deposited: 20 Sep 2015 10:45 UTC
Last Modified: 12 Jan 2023 12:14 UTC
Resource URI: (The current URI for this page, for reference purposes)

University of Kent Author Information

Altadmri, Amjad.

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