VIPS: a Vision-based Page Segmentation Algorithm

By Deng Cai, Shipeng Yu, Ji-rong Wen, Wei-Ying Ma. 2003

696 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/93c2712a8d21b69cab7db3b9337d32e5f118a130

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Deng Cai
2. Xiaofei He
3. Adrien Barbaresi
4. Feiping Nie
5. Zhiwei Li
6. Zechao Li
7. Dacheng Tao
8. Jiawei Han

Citations in the corpus

• Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction (2021, methodology): “Another notable technique, Visual Page Segmentation, applies heuristics to find visually grouped blocks (Cai et al., 2003).”
• Hierarchical clustering of WWW image search results using visual, textual and link information (2004, methodology): “Recently, a VIsion-based Page Segmentation (VIPS) algorithm [7] was proposed to partition the web page as different parts.”