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

Autor: Jongweon Kim, DaYou Jiang
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