A REVIEW ON AUDIO FEATURES BASED EXTRACTION OF SONGS FROM MOVIES
| Author(s) | : | Mittal C. Darji, Dr. Narendra M. Patel, Zankhana H. Shah |
| Institution | : | Birla Vishvakarma Mahavidyalaya, Vallabh Vidyanagar, Anand, Gujarat, India |
| Published In | : | Vol. 2, Issue 13 — January 2015 |
| Page No. | : | - |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
A movie is a collection of different portions like comedy scenes, action, dialogs and songs. Extraction of a selected portion such as songsis a complex task. Basic three approaches namely visual based, text based and audio based are used by authors over the time for videocontent classification. This paper indicates that audio based approach is most suitable for extraction of songs. Audio based approachutilizes various audio features which can differentiate songs and non-songs as mentioned here. Different combinations of these featureshave been used by researchers from which a generic model is derived that can become the base for songs extraction application
Mittal C. Darji, Dr. Narendra M. Patel, Zankhana H. Shah, “A REVIEW ON AUDIO FEATURES BASED EXTRACTION OF SONGS FROM MOVIES”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 2, Issue 13, pp. -, January 2015.
