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Communication Dans Un Congrès Année : 2012

Structural and Visual Similarity Learning for Web Page Archiving

Marc Teva Law
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Nicolas Thome
Stéphane Gançarski
Matthieu Cord

Résumé

We present in this paper a Web page archiving approach combining image and structural techniques. Our main goal is to learn a similarity between Web pages in order to detect whether successive versions of pages are similar or not. Our system is based on a visual similarity measure designed for Web pages. Combined with a structural analysis of Web page source codes, a supervised feature selection method adapted to Web archiving is proposed. Experiments on real Web archives are reported including scalability issues.

Dates et versions

hal-01271765 , version 1 (09-02-2016)

Identifiants

Citer

Marc Teva Law, Carlos Sureda Gutierrez, Nicolas Thome, Stéphane Gançarski, Matthieu Cord. Structural and Visual Similarity Learning for Web Page Archiving. 10th workshop on Content-Based Multimedia Indexing (CBMI), Jun 2012, Annecy, France. pp.1-6, ⟨10.1109/CBMI.2012.6269849⟩. ⟨hal-01271765⟩
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