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Appl. Sci. 2018, 8(10), 1735; https://doi.org/10.3390/app8101735

Video Searching and Fingerprint Detection by Using the Image Query and PlaceNet-Based Shot Boundary Detection Method

1
Department of Copyright Protection, Sangmyung University, Seoul 03016, Korea
2
Department of Electronics Engineering, Sangmyung University, Seoul 03016, Korea
*
Author to whom correspondence should be addressed.
Received: 31 July 2018 / Revised: 13 September 2018 / Accepted: 20 September 2018 / Published: 26 September 2018
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Abstract

This work presents a novel shot boundary detection (SBD) method based on the Place-centric deep network (PlaceNet), with the aim of using video shots and image queries for video searching (VS) and fingerprint detection. The SBD method has three stages. In the first stage, we employed Local Binary Pattern-Singular Value Decomposition (LBP-SVD) features for candidate shot boundaries selection. In the second stage, we used the PlaceNet to select the shot boundary by semantic labels. In the third stage, we used the Scale-Invariant Feature Transform (SIFT) descriptor to eliminate falsely detected boundaries. The experimental results show that our SBD method is effective on a series of SBD datasets. In addition, video searching experiments are conducted by using one query image instead of video sequences. The results under several image transitions by using shot fingerprints have shown good precision. View Full-Text
Keywords: video searching; video fingerprint; shot boundary detection; PlaceNet; image query; LBP-SVD; SIFT video searching; video fingerprint; shot boundary detection; PlaceNet; image query; LBP-SVD; SIFT
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Jiang, D.; Kim, J. Video Searching and Fingerprint Detection by Using the Image Query and PlaceNet-Based Shot Boundary Detection Method. Appl. Sci. 2018, 8, 1735.

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