Adaptive Video Compression Method Varying Coding Efficiency Corresponding to Importance of a Scene

Traditional video compression technologies have been developed over decades in pursuit of higher coding efficiency. Efficient temporal information representation plays a key role in video coding. Thus, in this paper, we propose to exploit the temporal correlation using both first-order optical flow and second-order flow prediction. We suggest an one-stage learning approach to encapsulate flow as quantized features from consecutive frames which is then entropy coded with adaptive contexts conditioned on joint spatial-temporal priors to exploit second-order correlations. Joint priors are embedded in autoregressive spatial neighbors, co-located hyper elements and temporal neighbors using ConvLSTM recurrently. We evaluate our approach for the low-delay scenario with High-Efficiency Video Coding (H.265/HEVC), H.264/AVC and another learned video compression method, following the common test settings. Our work offers the state-of-the-art performance, with consistent gains across all popular test sequences.

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New low complexity DCT based video compression method

2009 International Conference on Telecommunications ◽

10.1109/ictel.2009.5158644 ◽

2009 ◽

Cited By ~ 12

Author(s):

Tarek Ouni ◽

Walid Ayedi ◽

Mohamed Abid

Keyword(s):

Video Compression ◽

Low Complexity ◽

Compression Method

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Motion estimation for content adaptive video compression

2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763) ◽

10.1109/icme.2004.1394502 ◽

2005 ◽

Author(s):

Jiancong Luo ◽

I. Ahmad ◽

Yongfang Liang ◽

Yu Sun

Keyword(s):

Motion Estimation ◽

Video Compression ◽

Adaptive Video ◽

Content Adaptive

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Extended multiple feature-based classifications for adaptive loop filtering

APSIPA Transactions on Signal and Information Processing ◽

10.1017/atsip.2019.19 ◽

2019 ◽

Vol 8 ◽

Author(s):

Johannes Erfurt ◽

Wang-Q Lim ◽

Heiko Schwarz ◽

Detlev Marpe ◽

Thomas Wiegand

Keyword(s):

Video Compression ◽

Main Idea ◽

Loop Filter ◽

Coding Efficiency ◽

Multiple Feature ◽

Wiener Filters ◽

Feature Based ◽

Block Based ◽

Adaptive Loop Filter ◽

Offset Filtering

Abstract Recent progress in video compression is seemingly reaching its limits making it very hard to improve coding efficiency significantly further. The adaptive loop filter (ALF) has been a topic of interest for many years. ALF reaches high coding gains and has motivated many researchers over the past years to further improve the state-of-the-art algorithms. The main idea of ALF is to apply a classification to partition the set of all sample locations into multiple classes. After that, Wiener filters are calculated and applied for each class. Therefore, the performance of ALF essentially relies on how its classification behaves. In this paper, we extensively analyze multiple feature-based classifications for ALF (MCALF) and extend the original MCALF by incorporating sample adaptive offset filtering. Furthermore, we derive new block-based classifications which can be applied in MCALF to reduce its complexity. Experimental results show that our extended MCALF can further improve compression efficiency compared to the original MCALF algorithm.

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Steerable-Discrete-Cosine-Transform (SDCT): Hardware Implementation and Performance Analysis

Sensors ◽

10.3390/s20051405 ◽

2020 ◽

Vol 20 (5) ◽

pp. 1405 ◽

Cited By ~ 1

Author(s):

Riccardo Peloso ◽

Maurizio Capra ◽

Luigi Sole ◽

Massimo Ruo Roch ◽

Guido Masera ◽

...

Keyword(s):

Video Coding ◽

Discrete Cosine Transform ◽

Video Compression ◽

High Efficiency ◽

Frame Rate ◽

High Efficiency Video Coding ◽

Cosine Transform ◽

Coding Efficiency ◽

And Performance ◽

Efficient Video

In the last years, the need for new efficient video compression methods grown rapidly as frame resolution has increased dramatically. The Joint Collaborative Team on Video Coding (JCT-VC) effort produced in 2013 the H.265/High Efficiency Video Coding (HEVC) standard, which represents the state of the art in video coding standards. Nevertheless, in the last years, new algorithms and techniques to improve coding efficiency have been proposed. One promising approach relies on embedding direction capabilities into the transform stage. Recently, the Steerable Discrete Cosine Transform (SDCT) has been proposed to exploit directional DCT using a basis having different orientation angles. The SDCT leads to a sparser representation, which translates to improved coding efficiency. Preliminary results show that the SDCT can be embedded into the HEVC standard, providing better compression ratios. This paper presents a hardware architecture for the SDCT, which is able to work at a frequency of 188 M Hz , reaching a throughput of 3.00 GSample/s. In particular, this architecture supports 8k UltraHigh Definition (UHD) (7680 × 4320) with a frame rate of 60 Hz , which is one of the best resolutions supported by HEVC.

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