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- Author
- Year
- 2015
- Title
- Query-by-Emoji Video Search
- Event
- 2015 ACM International Conference on Multimedia
- Book/source title
- MM'15
- Book/source subtitle
- proceedings of the 2015 ACM Multimedia Conference: October 26-30, 2015, Brisbane, Australia
- Pages (from-to)
- 735-736
- Publisher
- New York, NY: Association for Computing Machinery
- ISBN (electronic)
- 9781450334594
- Document type
- Conference contribution
- Faculty
- Faculty of Science (FNWI)
- Institute
- Informatics Institute (IVI)
- Abstract
-
This technical demo presents Emoji2Video, a query-by-emoji interface for exploring video collections. Ideogram-based video search and representation presents an opportunity for an intuitive, visual interface and concise non-textual summary of video contents, in a form factor that is ideal for small screens. The demo allows users to build search strings comprised of ideograms which are used to query a large dataset of YouTube videos. The system returns a list of the top-ranking videos for the user query along with an emoji summary of the video contents so that users may make an informed decision whether to view a video or refine their search terms. The ranking of the videos is done in a zero-shot, multi-modal manner that employs an embedding space to exploit semantic relationships between user-selected ideograms and the video's visual and textual content.
- URL
- go to publisher's site
- Language
- English
- Persistent Identifier
- https://hdl.handle.net/11245/1.488963
- Downloads
-
p735-cappallo(Final published version)
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