Spatio-Temporal Wavelet Based Video Compression: a Simulink Implementation for Acceleration

2015 ◽  
Vol 10 (5) ◽  
pp. 513 ◽  
Author(s):  
Imen Charfi ◽  
Mohamed Atri
Keyword(s):  
Video Compression ◽  
Spatio Temporal

Video Compression Artifact Reduction via Spatio-Temporal Multi-Hypothesis Prediction

2015 ◽  
Vol 24 (12) ◽  
pp. 6048-6061 ◽  
Author(s):  
Xinfeng Zhang ◽  
Ruiqin Xiong ◽  
Weisi Lin ◽  
Siwei Ma ◽  
Jiaying Liu ◽  
...  
Keyword(s):  
Video Compression ◽  
Artifact Reduction ◽  
Spatio Temporal

scholarly journals Video Compression for Surveillance Application using Deep Neural Network

2020 ◽  
Vol 2 (2) ◽  
pp. 131-145
Author(s):  
Prasanga Dhungel ◽  
Prashant Tandan ◽  
Sandesh Bhusal ◽  
Sobit Neupane ◽  
Subarna Shakya
Keyword(s):  
Neural Network ◽  
Video Compression ◽  
Rate Distortion ◽  
General Purpose ◽  
New Approach ◽  
Video Frames ◽  
Spatio Temporal ◽  
Temporal Redundancy ◽  
Mpeg Encoding ◽  
Surveillance Application

We present a new approach to video compression for video surveillance by refining the shortcomings of conventional approach and substitute each traditional component with their neural network counterpart. Our proposed work consists of motion estimation, compression and compensation and residue compression, learned end-to-end to minimize the rate-distortion trade off. The whole model is jointly optimized using a single loss function. Our work is based on a standard method to exploit the spatio-temporal redundancy in video frames to reduce the bit rate along with the minimization of distortions in decoded frames. We implement a neural network version of conventional video compression approach and encode the redundant frames with lower number of bits. Although, our approach is more concerned toward surveillance, it can be extended easily to general purpose videos too. Experiments show that our technique is efficient and outperforms standard MPEG encoding at comparable bitrates while preserving the visual quality.

scholarly journals Spatio-temporal constrained tone mapping operator for HDR video compression

2018 ◽  
Vol 55 ◽  
pp. 166-178 ◽  
Author(s):  
Cagri Ozcinar ◽  
Paul Lauga ◽  
Giuseppe Valenzise ◽  
Frédéric Dufaux
Keyword(s):  
Video Compression ◽  
Tone Mapping ◽  
Spatio Temporal
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