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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/19043
Title: What and where you have seen? Bag of Words-based local feature pooling for visual event detection
Authors: Kumar N.
Sukavanam, Nagarajan
Jiang X.
Mao K.
Published in: Proceedings of SPIE The International Society for Optical Engineering
Abstract: The security analysis of sensitive issues and medical diagnosis are immensely focus to determine exact location of event happening regions. In this paper we propose a model of clustering and pooling techniques to local features using Bag-of-Words (BoW) descriptor in SVM framework for event detection in video sequences. The proposed model extracts local features from six categories of Columbia Consumer Video (CCV) event detection benchmark. We developed the clusters of these features using KD-search tree and Lloyds algorithm. The clusters of features is pooled to vectors by using bag of words model. Introducing the inferring temporal instance labelling, the model performed fast for event detection. The significant performance of the research problem can thrilled out the social media by retrieving the best possible content. The proposed model can efficiently perform the experiments of event detection related to big data problem in visual media. Furthermore, the proposed approach in the model is invariant to rotation, translation and scale changes in the video sequence and robust to the illumination and viewpoints. © 2019 SPIE.
Citation: Proceedings of SPIE The International Society for Optical Engineering, (2019)
URI: https://doi.org/10.1117/12.2523250
http://repository.iitr.ac.in/handle/123456789/19043
Issue Date: 2019
Publisher: SPIE
Keywords: Bag or words
DoG
Invariant features
MSER
SIFT
STIP
Support vector machine (SVM)
SURF
Diagnosis
Information retrieval
Support vector machines
Trees (mathematics)
Video recording
Bag or words
Invariant features
MSER
SIFT
STIP
SURF
Feature extraction
ISBN: 9.78E+12
ISSN: 0277786X
Author Scopus IDs: 57193498579
12804420600
Author Affiliations: Kumar, N., Department of Mathematics, I.I.T. Roorkee, Roorkee, 247667, India
Sukavanam, N., Department of Mathematics, I.I.T. Roorkee, Roorkee, 247667, India
Corresponding Author: Kumar, N.; Department of Mathematics, I.I.T. RoorkeeIndia; email: atrindma@iitr.ac.in
Appears in Collections:Conference Publications [MA]

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