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This paper presents VERGE, an interactive system designed for searching and browsing video content. VERGE allows users to explore collections of images extracted from videos, offering various search options like free-text queries, concept-based searches, color matching, detection of faces and people, as well as searches based on visual and semantic similarities. The system uses state-of-the-art AI for visual content analysis and can efficiently handle large datasets. VERGE also includes a web application that helps users form queries and displays the top search results, with the ability to combine different search methods. Improvements have been made to make the application more usable for non-expert users.

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VERGE in VBS 2025

  • 会议论文

  • 发表日期：

    2025年

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  • Nick Pantelidis,
  • Dimitris Georgalis,
  • Maria Pegia,
  • Damianos Galanopoulos,
  • Konstantinos Apostolidis,
  • Klearchos Stavrothanasopoulos,
  • Anastasia Moumtzidou,
  • Konstantinos Gkountakos,
  • Ilias Gialampoukidis,
  • Stefanos Vrochidis,
  • Vasileios Mezaris,
  • Ioannis Kompatsiaris

摘要

This paper presents VERGE, an interactive system designed for searching and browsing video content. VERGE allows users to explore collections of images extracted from videos, offering various search options like free-text queries, concept-based searches, color matching, detection of faces and people, as well as searches based on visual and semantic similarities. The system uses state-of-the-art AI for visual content analysis and can efficiently handle large datasets. VERGE also includes a web application that helps users form queries and displays the top search results, with the ability to combine different search methods. Improvements have been made to make the application more usable for non-expert users.