Effective Analysis of Multimedia Data a Human Attention Perspective
Amit Bora1, Shanu Sharma2

1Amit Bora, Department of Computer Science & Engineering, Amity University, (Uttar Pradesh), India.
2Shanu Sharma, Department of Computer Science & Engineering, Amity University, (Uttar Pradesh), India
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 250-256 | Volume-8 Issue-6, April 2019 | Retrieval Number: F3470048619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The advancement in the technology related to capturing, storage and transmission of data, have made multimedia data like images and videos pervasive today. But proper tools to describe and organize them are still not efficient. These images and videos are mostly targeted to human beings, whereas most of the existing multimedia assessment techniques are lack of subjective efficiency. Thus, more and more researchers are engaged in this filed to provide effective techniques of multimedia data analysis by accommodating user’s perception and cognition. Keeping user’s perception in mind, in this paper human attention-based perspective is discussed for multimedia data analysis. Recent work done in the field of attention, eye tracking, based image and video analysis along with the description of various benchmark datasets are summarized. The paper aims at providing the recent advances in field of user oriented effective multimedia data analysis along with the future directions.
Keyword: Saliency, Image, Video, Attention, Multimedia.
Scope of the Article: Wireless Multimedia Systems