Quality upshifting with auxiliary I-Frame splicing

Name: Quality upshifting with auxiliary I-Frame splicing
Author: Akçay, Mehmet Necmettin, Kara, Burak, Beğen, Ali Cengiz, Ahsan, S., Curcio, I. D. D., Kammachi-Sreedhar, K., Aksu, E.

İsim	Quality upshifting with auxiliary I-Frame splicing
Yazar	Akçay, Mehmet Necmettin, Kara, Burak, Beğen, Ali Cengiz, Ahsan, S., Curcio, I. D. D., Kammachi-Sreedhar, K., Aksu, E.
Basım Tarihi:	2023
Basım Yeri	- IEEE
Konu	ABR, Bandwidth saving, DASH, Fast switching
Tür	Belge
Dil	İngilizce
Dijital	Evet
Yazma	Hayır
Kütüphane:	Özyeğin Üniversitesi
Demirbaş Numarası	979-835031173-0
Kayıt Numarası	1eca4a66-3068-46ab-81b0-676c735811c4
Lokasyon	Computer Science
Tarih	2023
Örnek Metin	This paper introduces the Auxiliary I-Frame Splicing method to reduce bandwidth waste in adaptive streaming. This method involves fetching a high-quality I-frame and splicing it into the already downloaded low-quality segment, resulting in a higher-quality rendering at a lower overhead than replacing the entire low-quality segment. In our experiments with three videos and four quantization parameters, the results show that the bandwidth can be saved up to 87% while still increasing the peak signal-to-noise ratio score by 20% and the video multi-method assessment fusion score by 73%. In the demo, we demonstrate the visual differences between the original and spliced videos.
DOI	10.1109/QoMEX58391.2023.10178447

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Quality upshifting with auxiliary I-Frame splicing

Yazar Akçay, Mehmet Necmettin, Kara, Burak, Beğen, Ali Cengiz, Ahsan, S., Curcio, I. D. D., Kammachi-Sreedhar, K., Aksu, E.

Basım Tarihi 2023

Basım Yeri - IEEE

Konu ABR, Bandwidth saving, DASH, Fast switching

Tür Belge

Dil İngilizce

Dijital Evet

Yazma Hayır

Kütüphane Özyeğin Üniversitesi

Demirbaş Numarası 979-835031173-0

Kayıt Numarası 1eca4a66-3068-46ab-81b0-676c735811c4

Lokasyon Computer Science

Tarih 2023

Örnek Metin This paper introduces the Auxiliary I-Frame Splicing method to reduce bandwidth waste in adaptive streaming. This method involves fetching a high-quality I-frame and splicing it into the already downloaded low-quality segment, resulting in a higher-quality rendering at a lower overhead than replacing the entire low-quality segment. In our experiments with three videos and four quantization parameters, the results show that the bandwidth can be saved up to 87% while still increasing the peak signal-to-noise ratio score by 20% and the video multi-method assessment fusion score by 73%. In the demo, we demonstrate the visual differences between the original and spliced videos.

DOI 10.1109/QoMEX58391.2023.10178447