NDLI: GIANT: geo-informative attributes for location recognition and exploration

Content Provider	ACM Digital Library
Author	Xu, Changsheng Fang, Quan Sang, Jitao
Abstract	This paper considers the problem of automatically discovering geo-informative attributes for location recognition and exploration. The attribute is expected to be both discriminative and representative, which corresponds to a distinctive visual pattern and associates with semantic interpretation. For solution, we analyze the attribute at region level. Each segmented region in the training set is assigned a binary latent variable indicating its discriminative capability. A latent learning framework is proposed for discriminative region detection and geo-informative attribute discovery. Moreover, we use user-generated content to obtain the semantic interpretation for the discovered visual attribute. The proposed approach are evaluated on one challenging dataset including GoogleStreetView and Flickr photos. Experimental results show that: (1) geo-informative attribute are discriminative and useful for location recognition; (2) the discovered semantic interpretation is meaningful and can be exploited for further explorations.
Starting Page	13
Ending Page	22
Page Count	10
File Format	PDF
ISBN	9781450324045
DOI	10.1145/2502081.2502088
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-10-21
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Latent model Location recognition Geo-informative attributes
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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GIANT: geo-informative attributes for location recognition and exploration