Low-Complexity Intra Coding in Versatile Video Coding
Versatile Video Coding (VVC) was finalized in 2020 and offered promising coding efficiency with a bitrate reduction of about 50% for same video quality as High Efficiency Video Coding. However, its high encoding complexity is a heavy burden on real-time applications. In particular, the very high com...
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Veröffentlicht in: | IEEE transactions on consumer electronics 2022-05, Vol.68 (2), p.119-126 |
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creator | Choi, Kiho The Van Le Choi, Yongho Lee, Jin Young |
description | Versatile Video Coding (VVC) was finalized in 2020 and offered promising coding efficiency with a bitrate reduction of about 50% for same video quality as High Efficiency Video Coding. However, its high encoding complexity is a heavy burden on real-time applications. In particular, the very high complexity in intra coding can be a big barrier into market entry. This paper presents an efficient low-complexity intra coding scheme, which employs downsampling and upsampling processes. The downsampling is simply performed by reducing the resolution of an original video in both horizontal and vertical directions. In the upsampling, convolutional neural network based super-resolution is used to increase the resolution of the reconstructed video. In addition, this paper thoroughly analyzes the performance and complexity of all intra coding tools in VVC. Experimental results demonstrate that the significantly high reduction of the encoding complexity can be achieved with acceptable video quality. |
doi_str_mv | 10.1109/TCE.2022.3145397 |
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However, its high encoding complexity is a heavy burden on real-time applications. In particular, the very high complexity in intra coding can be a big barrier into market entry. This paper presents an efficient low-complexity intra coding scheme, which employs downsampling and upsampling processes. The downsampling is simply performed by reducing the resolution of an original video in both horizontal and vertical directions. In the upsampling, convolutional neural network based super-resolution is used to increase the resolution of the reconstructed video. In addition, this paper thoroughly analyzes the performance and complexity of all intra coding tools in VVC. 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Experimental results demonstrate that the significantly high reduction of the encoding complexity can be achieved with acceptable video quality.</description><subject>Artificial intelligence</subject><subject>Artificial neural networks</subject><subject>Coding</subject><subject>Complexity</subject><subject>Complexity theory</subject><subject>Decoding</subject><subject>Encoding</subject><subject>High efficiency video coding</subject><subject>Intra coding</subject><subject>low complexity</subject><subject>Reduction</subject><subject>Streaming media</subject><subject>super-resolution</subject><subject>versatile video coding (VVC)</subject><subject>Video compression</subject><issn>0098-3063</issn><issn>1558-4127</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEFLAzEQhYMoWKt3wcuC562TZDNJjrJULRS81F5DdpOVlHZTky3qv3dLi6c5vO-9gY-QewozSkE_rer5jAFjM04rwbW8IBMqhCoryuQlmQBoVXJAfk1uct4AjBRTEyKW8bus426_9T9h-C0W_ZBsUUcX-s8i9MXap2yHsPXFOjgfz8ktuersNvu7852Sj5f5qn4rl--vi_p5WbZM06GkXjQgsQGGXCOIymMrOHRNQxWiE9K1WDWKVg2zrbTYCeTUOq64R8ec41PyeNrdp_h18Hkwm3hI_fjSMJRMgWTj9JTAiWpTzDn5zuxT2Nn0ayiYoxwzyjFHOeYsZ6w8nCrBe_-Pa9SAVPA_6LNeAQ</recordid><startdate>20220501</startdate><enddate>20220501</enddate><creator>Choi, Kiho</creator><creator>The Van Le</creator><creator>Choi, Yongho</creator><creator>Lee, Jin Young</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Artificial intelligence Artificial neural networks Coding Complexity Complexity theory Decoding Encoding High efficiency video coding Intra coding low complexity Reduction Streaming media super-resolution versatile video coding (VVC) Video compression |
title | Low-Complexity Intra Coding in Versatile Video Coding |
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