VERGE: Simplifying Video Search for Novice Users
This paper presents an updated iteration of the VERGE interactive video retrieval system. It offers various search options like free text and concept-based text search, color similarity, people and face detection, and visual and semantic similarity search. The system is designed to handle large amounts of data efficiently using advanced indexing techniques and state-of-the-art AI technology for visual content analysis. This paper describes enhancements made to improve usability for non-expert users, particularly through changes to the search and browsing interface.
Authors
- Ilias Gialampoukidis (ORCID: https://orcid.org/0000-0002-5234-9795)
- Konstantinos Gkountakos (ORCID: https://orcid.org/0000-0001-7711-3773)
- Nick Pantelidis (ORCID: https://orcid.org/0000-0001-9409-4914)
- Vasileios Mezaris (ORCID: https://orcid.org/0000-0002-0121-4364)
- Klearchos Stavrothanasopoulos (ORCID: https://orcid.org/0009-0008-3673-4678)
- Stefanos Vrochidis (ORCID: https://orcid.org/0000-0002-2505-9178)
- Damianos Galanopoulos (ORCID: https://orcid.org/0000-0002-1852-4545)
- Maria Pegia (ORCID: https://orcid.org/0000-0003-2643-0028)
- Anastasia Moumtzidou (ORCID: https://orcid.org/0000-0001-7615-8400)
- Ioannis Yiannis Kompatsiaris (ORCID: https://orcid.org/0000-0001-6447-9020)
- Konstantinos Apostolidis (ORCID: https://orcid.org/0000-0002-9470-6332)
- Dimitris Georgalis
Institutions
- Information Technologies Institute (GR)
- Centre for Research and Technology Hellas (GR)
Publication Details
- Published
- 2024-09-18
- DOI
- https://doi.org/10.1109/cbmi62980.2024.10859248
- Citations
- 1
- Primary Topic
- Video Analysis and Summarization
- Type
- article
- Field-Weighted Citation Impact
- 0.25