КФУ. Карточка публикации. Hardware and software video encoding comparison

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HARDWARE AND SOFTWARE VIDEO ENCODING COMPARISON

Форма представления

Тезисы и материалы конференций в зарубежных журналах и сборниках

Год публикации

2020

Авторы, сотрудники КФУ

Сафин Рамиль Набиуллович, автор

Другие авторы

H. Li, M. Svinin, E. Garipova

Авторы, аспиранты КФУ

Сафин Рамиль Набиуллович, автор

Библиографическое описание на языке оригинала

R. Safin, E. Garipova, R. Lavrenov, H. Li, M. Svinin and E. Magid, "Hardware and software video encoding comparison," 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Chiang Mai, Thailand, 2020, pp. 924-929.

Аннотация

Long time of data encoding with software encoding mechanisms might become a significant problem when transferring digital data from cameras of mobile robots. At the same time, processor manufacturers claim that an encoding process is significantly accelerated by using a hardware encoding. This work is dedicated to a hardware and a software video encoding comparison of two state-of-the-art codecs, which were selected due to their high popularity in computer vision and robotics fields - a hardware encoding with h264 vaapi and a software encoding with FFmpeg API libx265 codec. We encoded six video sequences of different resolutions and sizes with the two codecs and evaluated obtained video quality using the Structural Similarity Index, the Peak Signal-to-Noise ratio, and the Video Multimethod Assessment Fusion metrics. Software and hardware encoding processes were also compared by CPU and memory usage, and time that was taken by the encoding process. Our results demonstrated that the hard

Ключевые слова

Computer vision, Robot vision, Video stream, Hardware encoding, Software encoding, Intel QuickSync,FFmpeg

URL

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9240439

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https://repository.kpfu.ru/?p_id=250503

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Сафин Рамиль Набиуллович	ru_RU
dc.contributor.author	Сафин Рамиль Набиуллович	ru_RU
dc.date.accessioned	2020-01-01T00:00:00Z	ru_RU
dc.date.available	2020-01-01T00:00:00Z	ru_RU
dc.date.issued	2020	ru_RU
dc.identifier.citation	R. Safin, E. Garipova, R. Lavrenov, H. Li, M. Svinin and E. Magid, "Hardware and software video encoding comparison," 2020 59th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), Chiang Mai, Thailand, 2020, pp. 924-929.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/?p_id=250503	ru_RU
dc.description.abstract	Long time of data encoding with software encoding mechanisms might become a significant problem when transferring digital data from cameras of mobile robots. At the same time, processor manufacturers claim that an encoding process is significantly accelerated by using a hardware encoding. This work is dedicated to a hardware and a software video encoding comparison of two state-of-the-art codecs, which were selected due to their high popularity in computer vision and robotics fields - a hardware encoding with h264 vaapi and a software encoding with FFmpeg API libx265 codec. We encoded six video sequences of different resolutions and sizes with the two codecs and evaluated obtained video quality using the Structural Similarity Index, the Peak Signal-to-Noise ratio, and the Video Multimethod Assessment Fusion metrics. Software and hardware encoding processes were also compared by CPU and memory usage, and time that was taken by the encoding process. Our results demonstrated that the hard	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Computer vision	ru_RU
dc.subject	Robot vision	ru_RU
dc.subject	Video stream	ru_RU
dc.subject	Hardware encoding	ru_RU
dc.subject	Software encoding	ru_RU
dc.subject	Intel QuickSync	ru_RU
dc.subject	FFmpeg	ru_RU
dc.title	Hardware and software video encoding comparison	ru_RU
dc.type	Тезисы и материалы конференций в зарубежных журналах и сборниках	ru_RU