Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-33885-4_68
Title: Object-layout-aware image retrieval for personal album management
Authors: Li, M.
Song, Z. 
Chen, Q.
Lin, L.
Huang, Z.
Yan, S. 
Keywords: Image Search
Object Layout
Photo Search
Issue Date: 2012
Source: Li, M.,Song, Z.,Chen, Q.,Lin, L.,Huang, Z.,Yan, S. (2012). Object-layout-aware image retrieval for personal album management. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7585 LNCS (PART 3) : 627-630. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-33885-4_68
Abstract: This demo shows a real-time object-layout-aware image retrieval system for personal album management. The query of the system is image's object layout and the system retrieves images based on the layout similarity of concerned objects in the query. Using automatic object localization algorithms, we propose to index the personal album with the object positions and scales in the 2D image plane, which can reflect their layout in 3D scene and hence be used to measure the object layout similarity. To query from the database, the users need describe their query by placing objects onto a canvas and configuring the position and scale of the objects. Then the system searches the album database and returns photos with the similar object layout. This system can facilitate people in finding the photos of which they have impression on the layout of certain objects. © 2012 Springer-Verlag.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/71190
ISBN: 9783642338847
ISSN: 03029743
DOI: 10.1007/978-3-642-33885-4_68
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