Video Searching and Fingerprint Detection by Using the Image Query and PlaceNet-Based Shot Boundary Detection Method
Autor: | Jongweon Kim, DaYou Jiang |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Boundary detection
Computer science Shot (filmmaking) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-invariant feature transform Binary number Boundary (topology) video searching 02 engineering and technology lcsh:Technology Image (mathematics) lcsh:Chemistry Fingerprint detection video fingerprint SIFT 0202 electrical engineering electronic engineering information engineering General Materials Science Instrumentation lcsh:QH301-705.5 Fluid Flow and Transfer Processes business.industry lcsh:T Process Chemistry and Technology General Engineering PlaceNet 020206 networking & telecommunications Pattern recognition LBP-SVD lcsh:QC1-999 Computer Science Applications Image query lcsh:Biology (General) lcsh:QD1-999 shot boundary detection lcsh:TA1-2040 image query 020201 artificial intelligence & image processing Artificial intelligence business lcsh:Engineering (General). Civil engineering (General) lcsh:Physics |
Zdroj: | Applied Sciences, Vol 8, Iss 10, p 1735 (2018) Applied Sciences Volume 8 Issue 10 |
ISSN: | 2076-3417 |
Popis: | 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. |
Databáze: | OpenAIRE |
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