Browsing by Author "Deeksha, S.D."

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A spatial clustering approach for efficient landmark discovery using geo-tagged photos
(Institute of Electrical and Electronics Engineers Inc., 2016) Deeksha, S.D.; Ashrith, H.C.; Bansode, R.; Kamath Sâ€¤, S.S.
Geo-tagged photos enable people to share their personal experiences while visiting various vacation spots through image sharing social networks like Flickr. The geo-tag information offers a wealth of information for capturing additional information on traveler behavior, trends, opinions and interests. In this paper, we propose a landmark discovery system that aims to discover popular tourist attractions in a city by assuming that the popularity of a tourist attraction is positively dependent on the visitor statistics and also the amount of tourist uploaded photos clicked on site. It is a known fact that places with lots of geo-tagged photos uploaded to Flickr are visited more often by social-media savvy tourists, who plan their trip based on others' experiences. We propose to build a system that identifies the most popular tourist places in a particular city by using geo-tagged photos collected from Flickr and recommend the same to the user. In this paper, we present the methodology of spatially clustering the geo-tagged images and present an analysis of algorithm performance in identifying landmarks and their popularity. Â© 2015 IEEE.
A spatial clustering approach for efficient landmark discovery using geo-tagged photos
(2016) Deeksha, S.D.; Ashrith, H.C.; Bansode, R.; Sowmya, Kamath S.
Geo-tagged photos enable people to share their personal experiences while visiting various vacation spots through image sharing social networks like Flickr. The geo-tag information offers a wealth of information for capturing additional information on traveler behavior, trends, opinions and interests. In this paper, we propose a landmark discovery system that aims to discover popular tourist attractions in a city by assuming that the popularity of a tourist attraction is positively dependent on the visitor statistics and also the amount of tourist uploaded photos clicked on site. It is a known fact that places with lots of geo-tagged photos uploaded to Flickr are visited more often by social-media savvy tourists, who plan their trip based on others' experiences. We propose to build a system that identifies the most popular tourist places in a particular city by using geo-tagged photos collected from Flickr and recommend the same to the user. In this paper, we present the methodology of spatially clustering the geo-tagged images and present an analysis of algorithm performance in identifying landmarks and their popularity. � 2015 IEEE.
Vision based laser controlled keyboard system for the disabled
(2014) Ahsan, H.; Prabhu, A.; Deeksha, S.D.; Domanal, S.G.; Ashwin, T.S.; Ram Mohana Reddy, Guddeti
In this paper, we have proposed a novel design for a vision based unistroke keyboard system for the disabled. The keyboard layout considers the commonly used character patterns, which makes it convenient for the user to type. In addition to this, Shift functionality is provided to accommodate a larger set of characters. A webcam is positioned so as to monitor the keyboard and the characters are identified based on the laser pointer which the user can control by minor head movements. Experimental results demonstrate that the design achieves very promising results, thus establishing a baseline for such models in this domain. Copyright 2014 ACM.
Vision based laser controlled keyboard system for the disabled
(Association for Computing Machinery, 2014) Ahsan, H.; Prabhu, A.; Deeksha, S.D.; Domanal, S.G.; Ashwin, T.S.; Guddeti, G.R.M.
In this paper, we have proposed a novel design for a vision based unistroke keyboard system for the disabled. The keyboard layout considers the commonly used character patterns, which makes it convenient for the user to type. In addition to this, Shift functionality is provided to accommodate a larger set of characters. A webcam is positioned so as to monitor the keyboard and the characters are identified based on the laser pointer which the user can control by minor head movements. Experimental results demonstrate that the design achieves very promising results, thus establishing a baseline for such models in this domain. Â© 2014 ACM.