Rate-distortion based temporal filtering for video compression

2002 ◽  
Author(s):  
O.G. Guleryuz ◽  
M.T. Orchard
Keyword(s):  
Video Compression ◽  
Rate Distortion ◽  
Temporal Filtering

Fuzzy Holoentropy-Based Adaptive Inter-Prediction Mode Selection for H.264 Video Coding

2019 ◽  
Vol 10 (2) ◽  
pp. 42-60
Author(s):  
Srinivas Bachu ◽  
N. Ramya Teja
Keyword(s):  
Video Coding ◽  
Video Compression ◽  
High Performance ◽  
Mode Selection ◽  
Rate Distortion ◽  
Computation Time ◽  
Exhaustive Search ◽  
Inter Prediction ◽  
Major Drawback ◽  
Prediction Mode

Due to the advancement of multimedia and its requirement of communication over the network, video compression has received much attention among the researchers. One of the popular video codings is scalable video coding, referred to as H.264/AVC standard. The major drawback in the H.264 is that it performs the exhaustive search over the interlayer prediction to gain the best rate-distortion performance. To reduce the computation overhead due to exhaustive search on mode prediction process, this paper presents a new technique for inter prediction mode selection based on the fuzzy holoentropy. This proposed scheme utilizes the pixel values and probabilistic distribution of pixel symbols to decide the mode. The adaptive mode selection is introduced here by analyzing the pixel values of the current block to be coded with those of a motion compensated reference block using fuzzy holoentropy. The adaptively selected mode decision can reduce the computation time without affecting the visual quality of frames. Experimentation of the proposed scheme is evaluated by utilizing five videos, and from the analysis, it is evident that proposed scheme has overall high performance with values of 41.367 dB and 0.992 for PSNR and SSIM respectively.

Per Clip Lagrangian Multiplier Optimisation for HEVC

2020 ◽  
Vol 2020 (10) ◽  
pp. 136-1-136-7
Author(s):  
Daniel J Ringis ◽  
François Pitié ◽  
Anil Kokaram
Keyword(s):  
Video Compression ◽  
Rate Distortion ◽  
Lagrangian Multiplier ◽  
Video Content ◽  
Compression Performance ◽  
Quality Video ◽  
Rate Improvement ◽  
Optimisation Methods ◽  
High Quality Video ◽  
The Impact

The majority of internet traffic is video content. This drives the demand for video compression in order to deliver high quality video at low target bitrates. This paper investigates the impact of adjusting the rate distortion equation on compression performance. An constant of proportionality, k, is used to modify the Lagrange multiplier used in H.265 (HEVC). Direct optimisation methods are deployed to maximise BD-Rate improvement for a particular clip. This leads to up to 21% BD-Rate improvement for an individual clip. Furthermore we use a more realistic corpus of material provided by YouTube. The results show that direct optimisation using BD-rate as the objective function can lead to further gains in bitrate savings that are not available with previous approaches.

scholarly journals Layer Selection in Progressive Transmission of Motion-Compensated JPEG2000 Video

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1032 ◽  
Author(s):  
José Carmelo Maturana-Espinosa ◽  
Juan Pablo García-Ortiz ◽  
Daniel Müller ◽  
Vicente González-Ruiz
Keyword(s):  
Rate Distortion ◽  
Video Codec ◽  
Experimental Comparison ◽  
Temporal Filtering ◽  
Video Codecs ◽  
File Formats ◽  
Motion Jpeg2000 ◽  
High Level ◽  
Temporal Redundancy ◽  
Client Side

MCJ2K (Motion-Compensated JPEG2000) is a video codec based on MCTF (Motion- Compensated Temporal Filtering) and J2K (JPEG2000). MCTF analyzes a sequence of images, generating a collection of temporal sub-bands, which are compressed with J2K. The R/D (Rate-Distortion) performance in MCJ2K is better than the MJ2K (Motion JPEG2000) extension, especially if there is a high level of temporal redundancy. MCJ2K codestreams can be served by standard JPIP (J2K Interactive Protocol) servers, thanks to the use of only J2K standard file formats. In bandwidth-constrained scenarios, an important issue in MCJ2K is determining the amount of data of each temporal sub-band that must be transmitted to maximize the quality of the reconstructions at the client side. To solve this problem, we have proposed two rate-allocation algorithms which provide reconstructions that are progressive in quality. The first, OSLA (Optimized Sub-band Layers Allocation), determines the best progression of quality layers, but is computationally expensive. The second, ESLA (Estimated-Slope sub-band Layers Allocation), is sub-optimal in most cases, but much faster and more convenient for real-time streaming scenarios. An experimental comparison shows that even when a straightforward motion compensation scheme is used, the R/D performance of MCJ2K competitive is compared not only to MJ2K, but also with respect to other standard scalable video codecs.

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