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Saliency-Aware Video Compression
IEEE Transactions on Image Processing, 2014In region-of-interest (ROI)-based video coding, ROI parts of the frame are encoded with higher quality than non-ROI parts. At low bit rates, such encoding may produce attention-grabbing coding artifacts, which may draw viewer's attention away from ROI, thereby degrading visual quality. In this paper, we present a saliency-aware video compression method
Hadi, Hadizadeh, Ivan V, Bajić
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SMPTE Journal, 1996
In order to ensure compatibility among video codecs from different manufacturers and applications and to simplify the development of new applications, intensive efforts have been undertaken in recent years to define digital video standards. These standards were the result of joint development efforts of video and audio compression as well as other ...
David Strachan +2 more
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In order to ensure compatibility among video codecs from different manufacturers and applications and to simplify the development of new applications, intensive efforts have been undertaken in recent years to define digital video standards. These standards were the result of joint development efforts of video and audio compression as well as other ...
David Strachan +2 more
openaire +3 more sources
2011 18th IEEE International Conference on Image Processing, 2011
The paper presents a scalable compressive sampling (CS) scheme for video acquisition. The proposed solution enables progressive reconstruction of video frames with novel measurement matrices. Simulation results show significant performance improvements over the traditional CS technique for the base layer and slightly better performance for the final ...
Stankovic, V., Stankovic, L., Cheng, S.
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The paper presents a scalable compressive sampling (CS) scheme for video acquisition. The proposed solution enables progressive reconstruction of video frames with novel measurement matrices. Simulation results show significant performance improvements over the traditional CS technique for the base layer and slightly better performance for the final ...
Stankovic, V., Stankovic, L., Cheng, S.
openaire +2 more sources
An End-to-End Learning Framework for Video Compression
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Guo Lu, Xiaoyun Zhang, Wangli Ouyang
exaly