Quality upshifting with auxiliary I-Frame splicing

Title 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.
Publication Date: 2023
Publication Place - IEEE
Subject ABR, Bandwidth saving, DASH, Fast switching
Type Document
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 979-835031173-0
Record ID 1eca4a66-3068-46ab-81b0-676c735811c4
Library Location Computer Science
Date 2023
Sample Text 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

Author Akçay, Mehmet Necmettin, Kara, Burak, Beğen, Ali Cengiz, Ahsan, S., Curcio, I. D. D., Kammachi-Sreedhar, K., Aksu, E.
Publication Date 2023
Publication Place - IEEE
Subject ABR, Bandwidth saving, DASH, Fast switching
Type Document
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 979-835031173-0
Record ID 1eca4a66-3068-46ab-81b0-676c735811c4
Library Location Computer Science
Date 2023
Sample Text 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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