PixelSieve: Towards Efficient Activity Analysis From Compressed Video Streams

Pixel-level data redundancy in video induces additional memory and computing overhead when neural networks are employed to mine spatiotemporal patterns, e.g. activity and event labels from video streams. This work proposes PixelSieve, to enable highly efficient CNN-based activity analysis directly f...

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Bibliographic Details

Published in:	2021 58th ACM/IEEE Design Automation Conference (DAC) pp. 811 - 816
Main Authors:	Wang, Yongchen, Wang, Ying, Li, Huawei, Li, Xiaowei
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.12.2021
Subjects:	Decoding Design automation Metadata Neural networks Redundancy Spatiotemporal phenomena Streaming media
Online Access:	Get full text
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