Video fragment format classification using optimized discriminative subspace clustering-Reference-Cited by-同舟云学术

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Video fragment format classification using optimized discriminative subspace clustering

Published:2016-01 Issue: Volume:40 Page:26-35
ISSN:0923-5965
Container-title:Signal Processing: Image Communication
language:en
Short-container-title:Signal Processing: Image Communication

Author:

Jin Xun,Kim Jongweon

Funder

Ministry of Culture, Sports and Tourism (MCST)

Korea Copyright Commission

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference29 articles.

1. Effective content-based video retrieval using pattern-indexing and matching techniques;Su;Exp. Syst. Appl.,2010

2. A survey on visual content-based video indexing and retrieval;Hu;IEEE Trans. Syst., Man Cybern. Part C: Appl. Rev.,2011

3. Rotation and flipping robust region binary patterns for video copy detection;Kim;J. Vis. Commun. Image Represent.,2014

4. Spatio-temporal feature-based keyframe detection from video shots using spectral clustering;Martin;Pattern Recognit. Lett.,2013

5. Feature extraction and clustering for dynamic video summarisation;Zhou;Neurocomputing,2010

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1. Fragments‐Expert: A graphical user interface MATLAB toolbox for classification of file fragments;Concurrency and Computation: Practice and Experience;2020-12-23

2. Dataset for file fragment classification of video file formats;BMC Research Notes;2020-04-15

3. Discovering similarities in Landsat satellite images using the K-means method;Procedia Computer Science;2020

4. Evidence Accumulation Clustering with Possibilitic Fuzzy C-Means base clustering approach to disease diagnosis;Automatika;2016-01

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