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Proceedings Paper

Snapscreen: TV-stream frame search with projectively distorted and noisy query
Author(s): Natalya Skoryukina; Timofey Chernov; Konstantin Bulatov; Dmitry P. Nikolaev; Vladimir Arlazarov
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Paper Abstract

In this work we describe an approach to real-time image search in large databases robust to variety of query distortions such as lighting alterations, projective distortions or digital noise. The approach is based on the extraction of keypoints and their descriptors, random hierarchical clustering trees for preliminary search and RANSAC for refining search and result scoring. The algorithm is implemented in Snapscreen system which allows determining a TV-channel and a TV-show from a picture acquired with mobile device. The implementation is enhanced using preceding localization of screen region. Results for the real-world data with different modifications of the system are presented.

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410Y (17 March 2017); doi: 10.1117/12.2268735
Show Author Affiliations
Natalya Skoryukina, National Univ. of Science and Technology "MISiS" (Russian Federation)
Timofey Chernov, National Univ. of Science and Technology "MISiS" (Russian Federation)
Institute for Systems Analysis (Russian Federation)
Konstantin Bulatov, National Univ. of Science and Technology "MISiS" (Russian Federation)
Institute for Systems Analysis (Russian Federation)
Dmitry P. Nikolaev, Institute for Information Transmission Problems (Russian Federation)
Vladimir Arlazarov, Institute for Systems Analysis (Russian Federation)


Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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