NDLI: Survey on pLSA based scene classification techniques

Content Provider	IEEE Xplore Digital Library
Author	Singh, A. Parmanand Saurabh
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Galgotias Univ., Greater Noida, India (Singh, A.; Parmanand; Saurabh)
Abstract	A comprehensive survey of scene classification based on pLSA formulation literature is presented. Due to the growth in robotics there is an increase in the concern towards visual technology adaption and the interest in the concern has been growing over past years. Vision creates the premises for brain-processing. Our brain receives and keeps unconscious processing over the stupendous amount of visual data every second. Scene Classification is the pioneer as well as a challenging discipline of the functional scope of Computer Vision. In this paper we have introduced the concept of different approaches for scene classification for enabling the viewing and classifying objects or scene around, the way human eyes do. The focus is based on the general overview of Scene Classification based on pLSA (probabilistic latent semantic analysis) integrated with different classifiers and algorithms. Each method is discussed to provide a complete reference for the description and comparison. Our aim is to highlight the rewarding direction for future research and real life applications of Scene Classification.
Starting Page	555
Ending Page	560
File Size	182371
Page Count	6
File Format	PDF
e-ISBN	9781479942367
DOI	10.1109/CONFLUENCE.2014.6949049
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-25
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Visualization Analytical models Vocabulary RPCL Scene classification Semantics Probabilistic logic Feature extraction Bag-of-words PLSA
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Mr. Siddhartha Mukherjee siddhartha@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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