Abstract
We demonstrate sigAlbum, a novel photo album service. It utilizes a tiny text intelligence to intelligently classify and search relevant photos inside a smartphone without any image processing. sigAlbum has three key features. First, it organizes in-device photos into well-defined categories. Secondly, it retrieves semantically related photos. Finally, it works in a stand-Alone, privacy-protecting manner. To the best of our knowledge, this is the first work that provides intelligent classification and semantic search services without resort to the cloud server.
Original language | English |
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Title of host publication | UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing |
Publisher | Association for Computing Machinery, Inc |
Pages | 373-376 |
Number of pages | 4 |
ISBN (Electronic) | 9781450344623 |
DOIs | |
Publication status | Published - 2016 Sept 12 |
Event | 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 - Heidelberg, Germany Duration: 2016 Sept 12 → 2016 Sept 16 |
Publication series
Name | UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing |
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Other
Other | 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 |
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Country/Territory | Germany |
City | Heidelberg |
Period | 16/9/12 → 16/9/16 |
Bibliographical note
Publisher Copyright:© 2016 ACM.
Keywords
- Intelligent photo service
- Semantic search
- Text classification
- Tiny text intelligence
ASJC Scopus subject areas
- Hardware and Architecture
- Software
- Information Systems
- Computer Networks and Communications
- Human-Computer Interaction