Snapscreen: TV-stream frame search with projectively distorted and noisy query

Natalya Skoryukina; Timofey Chernov; Konstantin Bulatov; Dmitry P. Nikolaev; Vladimir Arlazarov

doi:10.1117/12.2268735

17 March 2017 Snapscreen: TV-stream frame search with projectively distorted and noisy query

Natalya Skoryukina, Timofey Chernov, Konstantin Bulatov, Dmitry P. Nikolaev, Vladimir Arlazarov

Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103410Y (2017) https://doi.org/10.1117/12.2268735
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

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.

Citation Download Citation

Natalya Skoryukina, Timofey Chernov, Konstantin Bulatov, Dmitry P. Nikolaev, and Vladimir Arlazarov "Snapscreen: TV-stream frame search with projectively distorted and noisy query", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103410Y (17 March 2017); https://doi.org/10.1117/12.2268735

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available