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Connotative Feature Extraction For Movie Recommendation
N. G. Meshram, A. P. Bhagat
Pages - 343 - 354     |    Revised - 10-08-2014     |    Published - 15-09-2014
Volume - 8   Issue - 5    |    Publication Date - September / October 2014  Table of Contents
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KEYWORDS
Audio Features, Connotative Features, Emotion Recognition, Movie Recommendation, Video Features.
ABSTRACT
It is difficult to assess the emotions subject to the emotional responses to the content of the film by exploring the film connotative properties. Connotation is used to represent the emotions described by the audiovisual descriptors so that it predicts the emotional reaction of user. The connotative features can be used for the recommendation of movies. There are various methodologies for the recommendation of movies. This paper gives comparative analysis of some of these methods. This paper introduces some of the audio features that can be useful in the analysis of the emotions represented in the movie scenes. The video features can be mapped with emotions. This paper provides methodology for mapping audio features with some emotional states such as happiness, sleepiness, excitement, sadness, relaxation, anger, distress, fear, tension, boredom, comedy and fight. In this paper movie’s audio is used for connotative feature extraction which is extended to recognize emotions. This paper also provides comparative analysis of some of the methods that can be used for the recommendation of movies based on user’s emotions.
CITED BY (1)  
1 Meshram, N. G., & Bhagat, A. P. (2014). Connotative Feature Extraction For Movie Recommendation. International Journal of Image Processing (IJIP), 8(5), 343.
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Mr. N. G. Meshram
PG Department of Computer Science and Engineering Prof Ram Meghe College of Engineering and Management Badnera, 444 701, India - India
Dr. A. P. Bhagat
PG Department of Computer Science and Engineering Prof Ram Meghe College of Engineering and Management Badnera, 444 701, India - India
amol.bhagat84@gmail.com