MSoS: A Multi-Screen-Oriented Web Page Segmentation Approach

TL;DR

This paper introduces MSoS, a hybrid and adaptive web page segmentation method designed for multiscreen environments, demonstrating promising results with 75% precision on multimedia web pages.

Contribution

It presents a novel multiscreen-oriented segmentation approach that combines visual and structural analysis with dynamic content adaptation.

Findings

Achieved 75% precision in segmentation results.

Effective on multimedia web pages like YouTube and video players.

Outperforms one existing segmentation method from literature.

Abstract

In this paper we describe a multiscreen-oriented approach for segmenting web pages. The segmentation is an automatic and hybrid visual and structural method. It aims at creating coherent blocks which have different functions determined by the multiscreen environment. It is also characterized by a dynamic adaptation to the page content. Experiments are conducted on a set of existing applications that contain multimedia elements, in particular YouTube and video player pages. Results are compared with one seg-mentation method from the literature and with a ground truth manually created. With a 75% precision, the MSoS is a promising method that is capable of producing good segmentation results.