scholarly journals Shot Detection Using Genetic Edge Histogram and Object Based Video Retrieval Using Multiple Features

2012 ◽  
Vol 8 (8) ◽  
pp. 1364-1371
Author(s):  
Yutaka
2010 ◽  
Vol 25 (6) ◽  
pp. 450-465 ◽  
Author(s):  
Cl. Morand ◽  
J. Benois-Pineau ◽  
J.-Ph. Domenger ◽  
J. Zepeda ◽  
E. Kijak ◽  
...  

Author(s):  
Gioele Ciaparrone ◽  
Leonardo Chiariglione ◽  
Roberto Tagliaferri

AbstractFace-based video retrieval (FBVR) is the task of retrieving videos that containing the same face shown in the query image. In this article, we present the first end-to-end FBVR pipeline that is able to operate on large datasets of unconstrained, multi-shot, multi-person videos. We adapt an existing audiovisual recognition dataset to the task of FBVR and use it to evaluate our proposed pipeline. We compare a number of deep learning models for shot detection, face detection, and face feature extraction as part of our pipeline on a validation dataset made of more than 4000 videos. We obtain 97.25% mean average precision on an independent test set, composed of more than 1000 videos. The pipeline is able to extract features from videos at $$\sim $$ ∼ 7 times the real-time speed, and it is able to perform a query on thousands of videos in less than 0.5 s.


1999 ◽  
Author(s):  
Barbara V. Levienaise-Obadia ◽  
William J. Christmas ◽  
Josef Kittler ◽  
Kieron Messer ◽  
Yusseri Yusoff
Keyword(s):  

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