Subhasis Chaudhuri

Rama Chellappa

Cheng-Lin Liu

Apostolos Antonacopoulos

Umapada Pal

Saumik Bhattacharya

The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1–5, 2024. The 963 papers presented in these proceedings were carefully reviewed and selected from a total of 2106 submissions. They deal with topics such as Pattern Recognition; Artificial Intelligence; Machine Learning; Computer Vision; Robot Vision; Machine Vision; Image Processing; Speech Processing; Signal Processing; Video Processing; Biometrics; Human-Computer Interaction (HCI); Document Analysis; Document Recognition; Biomedical Imaging; Bioinformatics.

27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part IX

Pattern Recognition

27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part III

27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part I

27th International Conference, ICPR 2024, Kolkata, India, December 1–5, 2024, Proceedings, Part XVIII

Jianying Hu

This book provides the first comprehensive look at the emerging field of web document analysis. It sets the scene in this new field by combining state-of-the-art reviews of challenges and opportunities with research papers by leading researchers. Readers will find in-depth discussions on the many diverse and interdisciplinary areas within the field, including web image processing, applications of machine learning and graph theories for content extraction and web mining, adaptive web content delivery, multimedia document modeling and human interactive proofs for web security. Contents: Content Extraction and Web Mining; Document Analysis for Adaptive Content Delivery; Table Understanding on the Web; Web Image Analysis and Retrieval; New Opportunities. Readership: Graduate students and researchers in document-analysis and web communities.

Challenges and Opportunities

Web Document Analysis

Apostolos Antonacopoulos

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