Video Summarization - An improved Framework using CNN
| Author(s) | : | Suvarna Patil, Dhanashree Phalke |
| Institution | : | Department of Computer Engineering, SPPU, DYPCOE, Pune, Maharashtra, India |
| Published In | : | Vol. 6, Issue 6 — June 2019 |
| Page No. | : | 42-48 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Summarization is an act of exhibiting the most significant thing which is used in every field like Video,Audio and Text summarization. Video Summarization is a concise and meaningful representation of a video which ismostly used in surveillance of data. Video summarization has been mainly preferred to enhance faster browsing of largevideos collection and more effective contents accessing and indexing. The proposed system which is summarizes thevideo by using CNN technique. In this work, the input video is extracted number of frames, then applying ConvolutionalNeural Network the extracted frames are experienced with the trained dataset for recognizing important frames. Fromthe sorted frames, the system generates the resultant summarized video. The proposed work generated more accuratevideo summary. Various cricket videos are collected as a dataset.
Suvarna Patil, Dhanashree Phalke, “Video Summarization - An improved Framework using CNN”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 6, Issue 6, pp. 42-48, June 2019.
