R
Ramakrishna Vedantham
Researcher at Nokia
Publications - 48
Citations - 2625
Ramakrishna Vedantham is an academic researcher from Nokia. The author has contributed to research in topics: Session (computer science) & Mobile computing. The author has an hindex of 24, co-authored 48 publications receiving 2553 citations. Previous affiliations of Ramakrishna Vedantham include University of Texas at Dallas.
Papers
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Proceedings ArticleDOI
City-scale landmark identification on mobile devices
David Chen,Georges Baatz,Kevin Köser,Sam S. Tsai,Ramakrishna Vedantham,Timo Pylvänäinen,Kimmo Roimela,Xin Chen,Jeff Bach,Marc Pollefeys,Bernd Girod,Radek Grzeszczuk +11 more
TL;DR: This work fuses two popular representations of street-level image data — facade-aligned and viewpoint-aligned — and shows that they contain complementary information that can be exploited to significantly improve the recall rates on the city scale.
Journal ArticleDOI
Mobile Visual Search
Bernd Girod,Vijay Chandrasekhar,David Chen,Ngai-Man Cheung,Radek Grzeszczuk,Yuriy Reznik,Gabriel Takacs,Sam S. Tsai,Ramakrishna Vedantham +8 more
TL;DR: Mobile phones have evolved into powerful image and video processing devices equipped with high-resolution cameras, color displays, and hardware-accelerated graphics, which enables a new class of applications that use the camera phone to initiate search queries about objects in visual proximity to the user.
Patent
Method, Device, Mobile Terminal, and Computer Program Product for a Point of Interest Based Scheme for Improving Mobile Visual Searching Functionalities
Natasha Gelfand,Ramakrishna Vedantham,C. Philipp Schloter,Radek Grzeszczuk,Wei-Chao Chen,Suresh Chitturi,Jiang Gao,Markus Kahari,David Joseph Murphy,Kari Pulli,Ramin Vatanparast,Yingen Xiong +11 more
TL;DR: In this paper, the system consists of an apparatus that includes a processor that is configured to capture an image of one or more objects and analyze data of the image to identify an object(s) of an image.
Proceedings ArticleDOI
The stanford mobile visual search data set
Vijay Chandrasekhar,David Chen,Sam S. Tsai,Ngai-Man Cheung,Huizhong Chen,Gabriel Takacs,Yuriy Reznik,Ramakrishna Vedantham,Radek Grzeszczuk,Jeff Bach,Bernd Girod +10 more
TL;DR: The proposed Stanford Mobile Visual Search data set contains camera-phone images of products, CDs, books, outdoor landmarks, business cards, text documents, museum paintings and video clips, and query data collected from heterogeneous low and high-end camera phones.
Proceedings ArticleDOI
Landmark-based pedestrian navigation from collections of geotagged photos
Harlan Hile,Ramakrishna Vedantham,Gregory Cuellar,Alan Liu,Natasha Gelfand,Radek Grzeszczuk,Gaetano Borriello +6 more
TL;DR: A system that leverages an online collection of geotagged photographs to automatically generate navigational instructions that are presented to the user as a sequence of images of landmarks augmented with directional instructions.