Hybrid approach for news video mining through visual content detection
| Author(s) | : | Trupti N. Visani, Devangi L. Kotak |
| Institution | : | Research Scholar, Computer Engineering Department V.V.P. Engineering College, Rajkot, India |
| Published In | : | Vol. 4, Issue 5 — May 2017 |
| Page No. | : | 545-553 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
As the expansion in utilization of the Internet, the information exchanged, perused is evolving. We show aframework created for substance based news video perusing for home clients. On the off chance that client has no timefor watching news for an entire day then he or she can see highlights which came in TV yet their timings are additionallysettle their might be chances client may not ready to see that so for that news synopsis is valuable. There are threefundamental variables that recognize our work from other comparable ones. In the first place, we have incorporated thepicture and sound examination brings about distinguishing news fragments and for that we are discovering shots andkeys outline extraction for decreasing the time, Second, we utilize the video OCR innovation to recognize content fromcasings, which gives a decent wellspring of printed data for story order when transcripts and close inscriptions are notaccessible. Third thing we are utilizing logo coordinating for break location and breaking news recognition. Fromproposed strategy client can get customized news rundown
Trupti N. Visani, Devangi L. Kotak, “Hybrid approach for news video mining through visual content detection”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 5, pp. 545-553, May 2017.
