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Multimedia Tools and Applications gratefully acknowledges the editorial work of the scholars listed below on the special issue entitled “Deep Learning for Multimedia Signal Processing and Applications” (SI 1195).
Of 33 papers submitted, 6 were accepted for this issue after a stringent peer review process.
Corresponding Guest Editor
Guo-Shiang Lin
National Chin-Yi University of Technology, Taiwan
Email: gslin@ncut.edu.tw
Guest Editors
Jing-Ming Guo
National Taiwan University of Science and Technology, Taiwan
Email: jmguo@seed.net.tw
Chia-Hung Yeh
National Taiwan Normal University, Taiwan
Email: chyeh@ntnu.edu.tw
Mianxiong Dong
Muroran Institute of Technology, Japan
Email: mx.dong@csse.muroran-it.ac.jp
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Deep learning for multimedia signal processing and applications. Multimed Tools Appl 81, 11823 (2022). https://doi.org/10.1007/s11042-022-12954-5
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DOI: https://doi.org/10.1007/s11042-022-12954-5