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Erschienen in:
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2018 | OriginalPaper | Buchkapitel

High-Performance Video Retrieval Based on Spatio-Temporal Features

verfasst von : G. S. N. Kumar, V. S. K. Reddy, S. Srinivas Kumar

Erschienen in: Microelectronics, Electromagnetics and Telecommunications

Verlag: Springer Singapore

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Abstract

Many algorithms have been propounded to retrieve videos from a huge database. Yet, they could not reduce the time consumption and their efficiency could completely not satisfy the users. Unlike the existing systems, the proposed approach integrates spatio-temporal features by exploiting the complete video information and it enhances the efficacy of video retrieval. In this paper, we extract color and motion features to obtain spatio-temporal features. We have employed HSV color histogram method for color feature extraction and motion histogram method for extracting video motion feature. Experimental results have shown better performance of these algorithms compared to the existing algorithms in video retrieval.

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Vorheriges Kapitel Virtual Instrumentation-Based Malicious Circuit Detection Using Weighted Average Voting
Nächstes Kapitel Performance Comparison of Commercially Available RF Analog and Mixed Signal Simulation Tools Using Benchmark Circuits
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Metadaten
Titel
High-Performance Video Retrieval Based on Spatio-Temporal Features
verfasst von
G. S. N. Kumar
V. S. K. Reddy
S. Srinivas Kumar
Copyright-Jahr
2018
Verlag
Springer Singapore
Buch
Microelectronics, Electromagnetics and Telecommunications

Print ISBN: 978-981-10-7328-1

Electronic ISBN: 978-981-10-7329-8

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-981-10-7329-8_44

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