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Performance Evaluation of WMNs by WMN-PSOSA Simulation System Considering Constriction and Linearly Decreasing Inertia Weight Methods Read chapter Read first chapter

2018 | OriginalPaper | Chapter

ELVIDS: Video Search System Prototype with a Three-Level Hierarchy Model

Authors : Tongjin Lee, Jun Iio

Published in: Advances in Network-Based Information Systems

Publisher: Springer International Publishing

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Abstract

We propose a video search system with a three-level hierarchy model for searching videos from works, scenes, and shots. Videos are useful research materials; however, their scholarly use is very limited because finding the desired information is a time-consuming task for scholars. To provide solutions to this problem, we developed a system with functions to increase search efficiency. This paper mentions the reasons preventing the scholarly use of videos and describes the methods used to develop the system, focusing on database creation and the prototype’s interface.

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previous chapter Text-Based Video Scene Segmentation: A Novel Method to Determine Shot Boundaries
next chapter Comparison of Typing Efficiency Between PC and Smartphone in the Case of Younger Generations
Footnotes
1
Note that this prototype is a closed caption based search system, not based on video recognition and open caption base.
 
Literature
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Andreano, K.: The missing link: content indexing, user-created metadata, and improving scholarly access to moving image archives. Moving Image 7(2), 82–99 (2007)
2.
Lu, C., Liu, M., Wu, Z.: SVQL: A SQL extended query language for video databases. Int. J. Database Theory Appl. 8(3), 235–248 (2015)CrossRef
3.
Li, Z.: An XML-based system for management and query of video databases with user identifiable and annotated scenes. Graduate theses and dissertations, Paper 14231 (2014)
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Daga, B.S., Ghatol, A.A.: Detection of objects and activities in videos using spatial relations and ontology based approach in video database system. Int. J. Adv. Eng. Technol. 9(6), 640–650 (2016)
5.
Nikam, P.: Nandwalkar, B.R: Fuzzy ontology and rule based model for automatic semantic content extraction from videos using k-means algorithm. Int. J. Comput. Appl. 130(13), 11–16 (2015)
6.
Ganesh, K.R., Kanthavel, R., Celin, A.V.: Ontology and rule-based model for extracting semantic content in videos. J. Theoret. Appl. Inf. Technol. 62(2), 350–355 (2014)
Metadata
Title
ELVIDS: Video Search System Prototype with a Three-Level Hierarchy Model
Authors
Tongjin Lee
Jun Iio
Copyright Year
2018
Book
Advances in Network-Based Information Systems

Print ISBN: 978-3-319-65520-8

Electronic ISBN: 978-3-319-65521-5

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-65521-5_101

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