Journal article
Learning-Based Video Compression Framework With Implicit Spatial Transform for Applications in the Internet of Things
Abstract
The rapid development of Big Data and network technology demands more secure and efficient video transmission for surveillance and video analysis applications. Classical video transmission relies on spatial-frequency transformation for compressing with loss but with limited coding efficiencies. The deep learning-based approach exceeds such limitations. In this work, we push the limit further by proposing an implicit spatial transform parameter …
Authors
Li Q; Zhu S; Wang J; Chen T
Journal
IEEE Transactions on Industrial Informatics, Vol. 19, No. 5, pp. 6576–6587
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
10.1109/tii.2022.3204681
ISSN
1551-3203