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Shot boundary detection method based on a new extensive dataset and mixed featuresстатья
- Авторы: Gushchin Alexander, Antsiferova Anastasia, Vatolin Dmitriy
- Сборник: Proceedings of the 31th International Conference on Computer Graphics and Machine Vision
- Серия: CEUR Workshop Proceedings
- Том: 3027
- Год издания: 2021
- Первая страница: 188
- Последняя страница: 198
- DOI: 10.20948/graphicon-2021-3027-188-198
- Аннотация: Shot boundary detection in video is one of the key stages of video data processing. A new method for shot boundary detection based on several video features, such as color histograms and object boundaries, has been proposed. The developed algorithm was tested on the open BBC Planet Earth [1] and RAI [2] datasets, and the MSU CC datasets, based on videos used in the video codec comparison conducted at MSU, as well as videos from the IBM set, were also plotted. The total dataset for algorithm development and testing exceeded the known TRECVID datasets. Based on the test results, the proposed algorithm for scene change detection outperformed its counterparts with a final F-score of 0.9794.
- Добавил в систему: Санжаров Вадим Владимирович
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 1. | Полный текст | полный текст | GraphiCon_2021_paper_142.pdf | 3,9 МБ | 18 декабря 2021 [antsiferova_anastasiia] |