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Titlebook: Digital Multimedia Communications; 20th International F Guangtao Zhai,Jun Zhou,Xiaokang Yang Conference proceedings 2024 The Editor(s) (if

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樓主
發(fā)表于 2025-3-21 16:12:30 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Digital Multimedia Communications
副標(biāo)題20th International F
編輯Guangtao Zhai,Jun Zhou,Xiaokang Yang
視頻videohttp://file.papertrans.cn/285/284723/284723.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Digital Multimedia Communications; 20th International F Guangtao Zhai,Jun Zhou,Xiaokang Yang Conference proceedings 2024 The Editor(s) (if
描述.This book constitutes the refereed proceedings of the 20th International Forum on Digital Multimedia Communication, IFTC 2023, held in Beijing, China, December 21–22, 2023...The 57 full papers included in this book were carefully reviewed and selected from 150 submissions. They were organized in topical sections as follows:..CCIS 2066: Image Processing,?Media Computing,?Metaverse and Virtual Reality, and Multimedia Communication...CCIS 2067:?Quality Assessment,?Source Coding, and Application of AI..
出版日期Conference proceedings 2024
關(guān)鍵詞Visual content-based indexing and retrieval; Scene anomaly detection; Appearance and texture represent
版次1
doihttps://doi.org/10.1007/978-981-97-3626-3
isbn_softcover978-981-97-3625-6
isbn_ebook978-981-97-3626-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

書目名稱Digital Multimedia Communications影響因子(影響力)




書目名稱Digital Multimedia Communications影響因子(影響力)學(xué)科排名




書目名稱Digital Multimedia Communications網(wǎng)絡(luò)公開度




書目名稱Digital Multimedia Communications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Digital Multimedia Communications被引頻次




書目名稱Digital Multimedia Communications被引頻次學(xué)科排名




書目名稱Digital Multimedia Communications年度引用




書目名稱Digital Multimedia Communications年度引用學(xué)科排名




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書目名稱Digital Multimedia Communications讀者反饋學(xué)科排名




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沙發(fā)
發(fā)表于 2025-3-21 22:55:07 | 只看該作者
ULIC: Ultra Lightweight Image Coder on?Wearable Devices low-power chip, ULIC outperforms well-optimized JPEG coders with about 6%–22% compression efficiency gains, 10. - 30. faster decoding, and 17% less power consumption, making it practically attractive in applications.
板凳
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地板
發(fā)表于 2025-3-22 06:44:11 | 只看該作者
1865-0929 ized in topical sections as follows:..CCIS 2066: Image Processing,?Media Computing,?Metaverse and Virtual Reality, and Multimedia Communication...CCIS 2067:?Quality Assessment,?Source Coding, and Application of AI..978-981-97-3625-6978-981-97-3626-3Series ISSN 1865-0929 Series E-ISSN 1865-0937
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發(fā)表于 2025-3-22 09:47:35 | 只看該作者
Conference proceedings 2024, December 21–22, 2023...The 57 full papers included in this book were carefully reviewed and selected from 150 submissions. They were organized in topical sections as follows:..CCIS 2066: Image Processing,?Media Computing,?Metaverse and Virtual Reality, and Multimedia Communication...CCIS 2067:?Qua
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lti-modal combination features that contain multiple characteristics. Finally, the obtained multi-modal are combined for aesthetic assessment prediction. Experimental results on public image aesthetics assessment databases demonstrate the superiority of our model.
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發(fā)表于 2025-3-23 01:12:15 | 只看該作者
nto the network for extracting relevant feature mappings. Finally, all sub-networks are used for quality scoring predictions, resulting in the final perceptual quality score. Experiments conducted on the LIVE dataset have demonstrated the superiority of this approach.
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發(fā)表于 2025-3-23 02:18:16 | 只看該作者
ine semantic compression experiments on three different datasets. The results demonstrate the superiority of our proposed approach over traditional compression coding methods and incomplete end-to-end compression methods in terms of the trade-off between bit rate and quality.
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發(fā)表于 2025-3-23 09:16:34 | 只看該作者
n prediction models using a ’decision-fusion’ approach, resulting in our final PM. concentration measurement model. Through rigorous testing, we confirm that this method outperforms existing photo-based PM. monitoring techniques in terms of both accuracy and efficiency.
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