Articolul precedent |
Articolul urmator |
327 8 |
Ultima descărcare din IBN: 2021-09-01 09:29 |
SM ISO690:2012 ORLOV, Yevhenii. Wavelet based video scene cut detection. In: International Conference on Intelligent Information Systems, Ed. 2020, 4-5 decembrie 2020, Chișinău. Chișinău: "VALINEX" SRL, 2020, pp. 131-138. ISBN 978-9975-68-415-6. |
EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
International Conference on Intelligent Information Systems 2020 | ||||||
Conferința "International Conference on Intelligent Information Systems" 2020, Chișinău, Moldova, 4-5 decembrie 2020 | ||||||
|
||||||
Pag. 131-138 | ||||||
|
||||||
Descarcă PDF | ||||||
Rezumat | ||||||
Video segmentation is a first step towards video analysis. Video segmentation is responsible for identifying scene boundaries, logically connected frames. Scene is a fundamental part of the video because it captures actions in a form of coherent sequence of frames. Although, many algorithms for scene cut detection were proposed, in most approaches only one visual feature was used. Here we propose a novel algorithm for scene cut detection that utilizes multiple visual features including color histogram, edge histogram and frame wavelet statistics. Experiments run on complex video data prove algorithm effectiveness compared to other scene cut detection algorithms. |
||||||
Cuvinte-cheie video processing, scene cut detection, color histograms, edge histograms, wavelet statistics |
||||||
|