Video Genre Recognition Using Gestures of the Viewer

Abstract

There have been many attempts of video genre recognition using the analysis of video itself, but none could perform close to the human intelligence. We propose an approach in which we will use viewers’ reactions while watching the video for detecting its genre. Viewers hardly fail to identify the genre of the video, which in-turn is reflected through their gestures1. Hence the accuracy of the system will solely depend on the viewer’s gesture recognition.

Authors and Affiliations

Prashant Dahiya, Samiulla Zakir Hussain Shaikh

Keywords

Related Articles

Reverse Engineering of Motorcycle Rear Disc Brake System

Generally motorcycles above 150cc have two discs in the rear, one is brake disc rotor and other is sprocket. In this concept one of the discs is removed and two of the vehicle function is achieved in one disc itself. Th...

Survey on Design of Security Framework for Ads-B Based Systems

the requirement for increased surveillance due to increase in flight volume in the distanced area or oceanic regions outside the range of traditional radar coverage has been fulfilled by the advent of space-based automa...

An Active Power Factor Correction Technique for Bridgeless Boost AC-DC Converter

As most of the electronic appliances use DC power so improvement in AC–DC converter is always at large by the researchers. The factors of improvement of power quality are reduction in total harmonic distortion and impro...

Non-GPS Navigation using the method Okamura-Hata and Wolfish-Ikegami

Mobile communications must be enhanced by establishing a non-GPS technology that can detect the positions of mobile stations precisely. In this paper, we propose methods of used Okamura-Hata and Wolfish-Ikegami. The pur...

Microstructure study on cement mortar using green sand and copper slag – A review

This paper deals micro structure of cement mortar with green sand and copper slag as replacement of fine aggregate. The replacement of green sand and copper slag will be gradually from 10%, 20%, and 30% by the weight of...

Download PDF file
  • EP ID EP19486
  • DOI -
  • Views 236
  • Downloads 4

How To Cite

Prashant Dahiya, Samiulla Zakir Hussain Shaikh (2015). Video Genre Recognition Using Gestures of the Viewer. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 3(2), -. https://europub.co.uk/articles/-A-19486