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We hope the complexity aspect of encoding model is well discussed in the process of standardization. Contents 1 Abstract 2 Contents 3 1 Introduction 3 2 Algorithm description 3 2.1 Motion representation 3 2.2 Intra-frame prediction 3 2.3 Spatial transforms 3 2.4 Quantization 3 2.5 In-loop filtering 3 2.6 Entropy coding 3 2.7 Additional algorithmic description discussion topic: Extended Block Sizes 3 3 Compression performance discussion 3 3.1 Constraint set 1 configuration relative to Alpha anchor 4 3.1.1 Class A 4 3.1.2 Class B 5 3.1.3 Class C 5 3.1.4 Class D 5 3.1.5 Overall 6 3.2 Constraint set 2 configuration relative to Beta and Gamma anchors 6 3.2.1 Class B 6 3.2.2 Class C 7 3.2.3 Class D 7 3.2.4 Class E 7 3.2.5 Overall 8 4 Complexity analysis 8 4.1 Encoding time and measurement methodology 8 4.2 Decoding time and measurement methodology and comparison vs. anchor bitstreams decoded by JM 17.0 8 4.3 Description of computing platform used to determine encoding and decoding times reported in sections 4.1 and 4.2 9 4.4 Expected memory usage of encoder 9 4.5 Expected memory usage of decoder 9 4.6 Complexity characteristics of encoder motion estimation and motion segmentation selection 9 4.7 Complexity characteristics of decoder motion compensation 9 4.8 Complexity characteristics of encoder intra-frame prediction type selection 9 4.9 Complexity characteristics of decoder intra-frame prediction operation 9 4.10 Complexity characteristics of encoder transforms and transform type selection 9 4.11 Complexity characteristics of decoder inverse transform operation 9 4.12 Complexity characteristics of encoder quantization and quantization type selection 9 4.13 Complexity characteristics of decoder inverse quantization 10 4.14 Complexity characteristics of encoder in-loop filtering type selection 10 4.15 Complexity characteristics of decoder in-loop filtering operation 10 4.16 Complexity characteristics of encoder entropy coding type selection 10 4.17 Complexity characteristics of decoder entropy decoding operation 10 4.18 Degree of capability for encoder parallel processing 10 4.19 Degree of capability for decoder parallel processing 10 5 Algorithmic characteristics 10 5.1 Random access characteristics 10 5.2 Delay characteristics 10 6 Software implementation description 10 7 Highlighted aspects discussion 10 8 Closing remarks 11 9 References 11 10 Patent rights declaration(s) 1 Introduction This contribution describes our response to Joint Call for Proposals (CfP) on Video Compression Technology [1]. 2 Algorithm description 2.1 Motion representation Enhanced Adaptive Interpolation Filter (EAIF) [2] is introduced in this proposal. (...) A) Simulation Environment · OS: RedHat Linux 64bit · CPU: AMD Opteron Quad Core 2.8GHz · Memory: 2GByte RAM B) Simulation Environment · OS: Windows Server 2003 32bit · CPU: Intel Xeon Quad Core 3.0GHz · Memory: 4GByte RAM 4.4 Expected memory usage of encoder The proposed technology has equivalent memory usage of encoder to KTA software version 2.6r1. 4.5 Expected memory usage of decoder The proposed technology has equivalent memory usage of decoder to KTA software version 2.6r1. 4.6 Complexity characteristics of encoder motion estimation and motion segmentation selection The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 4.7 Complexity characteristics of decoder motion compensation The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 4.8 Complexity characteristics of encoder intra-frame prediction type selection The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 4.9 Complexity characteristics of decoder intra-frame prediction operation The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 4.10 Complexity characteristics of encoder transforms and transform type selection The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 4.11 Complexity characteristics of decoder inverse transform operation The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 4.12 Complexity characteristics of encoder quantization and quantization type selection The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 4.13 Complexity characteristics of decoder inverse quantization The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 4.14 Complexity characteristics of encoder in-loop filtering type selection The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 4.15 Complexity characteristics of decoder in-loop filtering operation The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 4.16 Complexity characteristics of encoder entropy coding type selection The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 4.17 Complexity characteristics of decoder entropy decoding operation The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 4.18 Degree of capability for encoder parallel processing The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 4.19 Degree of capability for decoder parallel processing The proposed technology has equivalent complexity characteristics to KTA software version 2.6r1. 5 Algorithmic characteristics 5.1 Random access characteristics The proposed technology has equivalent random access characteristics to AVC. 5.2 Delay characteristics The proposed technology has equivalent delay characteristics to AVC. 6 Software implementation description The proposed method was implemented by C/C++. 7 Highlighted aspects discussion Although many efficient coding tools are proposed so far, we are concerning that complexity becomes extremely higher than AVC.
Language:English
Score: 547300.63 - https://www.itu.int/wftp3/av-a...10_04_A_Dresden/JCTVC-A102.doc
Data Source: un
This time the focus was luma deblocking complexity reduction. Enhancement type: Complexity reduction Approximate degree of enhancement: Approximately 7% Complexity impact: Significant complexity reduction 23. (...) Complexity scalability A less familiar type of scalability, complexity scalability, was the subject of contribution VCEG‑X06 of the Palma de Mallorca meeting of October 2004. (...) Enhancement type: Decoding complexity reduction Approximate degree of enhancement: Approximately 30% (wild guess) Complexity impact: Significant complexity reduction for lower-quality decoding References [1] Gary J.
Language:English
Score: 547300.63 - https://www.itu.int/wftp3/av-a...o-site/0410_Pal/VCEG-X03r1.doc
Data Source: un
The bulk of the computational complexity for TML 5.91 was found in the motion search functions. (...) (Note: the 92.7% value for motion search complexity mentioned in Section 2.1.2 was for a ±16 pel search range.) (...) We believe, therefore that this topic should be revisited. 3.2 Comprehensive Complexity Analysis Previous complexity analyses were performed in the context of TML 5.91.
Language:English
Score: 546773.54 - https://www.itu.int/wftp3/av-a...deo-site/0109_San/VCEG-N06.doc
Data Source: un
The high-complexity mode is fully backward compatible to the low-complexity mode. (...) Since the low-complexity scheme is strictly a subset of the high-complexity scheme, the backward compatibility is guaranteed. The low-complexity scheme has the least amount of memory requirement.
Language:English
Score: 546259.1 - https://www.itu.int/wftp3/av-a...e/2002_05_Fairfax/JVT-C033.doc
Data Source: un
Macroblock Mode Decision under Fast High Complexity mode Fast high-complexity mode with Fast Motion Estimation To further accelerate the processing time of fast high-complexity mode, the fast motion estimation method implemented in JM9.2 was also used in addition to the fast high-complexity mode. The execution time saving of the fast high-complexity mode with fast motion estimation was compared with that of the low complexity mode. (...) We can also see that fast high-complexity mode with Fast ME provides much better result than the low complexity mode with FME.
Language:English
Score: 546085.4 - https://www.itu.int/wftp3/av-a.../2005_01_HongKong/JVT-N013.doc
Data Source: un
(coding condition dependent) Complexity impact: Small increase (depending on architecture, possibly no impact) 9. (...) Also included in the same contribution was a technique categorized for purposes herein as a coding efficiency improvement (see item 8 above). Enhancement type: Complexity reduction Approximate degree of enhancement: Approximately 6% or more Complexity impact: Significant complexity reduction 24. (...) Although the informal subjective test done at the Redmond meeting did not validate the quality performance of the specific chroma deblocking complexity reduction method found in VCEG-W10, the contribution may nevertheless point to a fruitful area of work, as the deblocking filter is a substantial part of decoder complexity (perhaps about 20%) Enhancement type: Complexity reduction Approximate degree of enhancement: Approximately 5% Complexity impact: Significant complexity reduction References [1] Gary J.
Language:English
Score: 544641.2 - https://www.itu.int/wftp3/av-a...deo-site/0410_Pal/VCEG-X03.doc
Data Source: un
Recognizing this, WHO commissioned a set of papers on approaches to improve the process and methods used for evidence-informed decisions about health, addressing complex health interventions and complex systems. (...) The special edition includes the following papers Norris S, Rehfuess E, Smith H, et al..  Complex health interventions in complex systems: improving the process and methods for evidence-informed health decisions Petticrew M, Knai C, Thomas J, et al.  (...) Synthesizing quantitative evidence in systematic reviews of complex health interventions Flemming K, Booth A, Garside R, et al. 
Language:English
Score: 544548.3 - https://www.who.int/news/item/...-guideline-development-methods
Data Source: un
Compared to used in TML-5 subsequent interpolation direct interpolation reduces complexity of the decoder but increases either complexity or memory requirements of the encoder. (...) Since 6-tap operations are much more complex than bilinear operations complexity of the two methods is similar. (...) Table 2 summarizes complexities of the interpolation methods. Complexity is measured in terms of number of 8-tap filter and bilinear filter operations.
Language:English
Score: 543697.9 - https://www.itu.int/wftp3/av-a...deo-site/0109_San/VCEG-N31.doc
Data Source: un
Enhancement type: Coding efficiency improvement Approximate degree of enhancement: 1-2% avg. Complexity impact: Small increase 5. Increased-accuracy motion compensation 1/8-sample motion compensation was in drafts of H.264/AVC until it was dropped sometime in 2002 out of concerns over complexity. (...) (highly scene dependent) Complexity impact: Significant increase 6. Adaptive motion compensation interpolation tap values The idea of having some form of adaptivity for the interpolation filter tap values for motion compensation was investigated in the JVT but was eventually no longer pursued due to concern over schedule, degree of benefit, complexity, etc. (...) Enhancement type: Efficient lossless coding for intra or inter Approximate degree of enhancement: Added feature for additional application area Complexity impact: Not complex, but difficult to quantify due to profiling issues 11.
Language:English
Score: 542805.03 - https://www.itu.int/wftp3/av-a...deo-site/0309_San/VCEG-T03.doc
Data Source: un
A8.4: A parking for a minimum of 20 cars should be designed inside the complex area for mosque’s employees. Page 37 of the Architectural Brief reads: ‘’Provide the space for a minimum of 20 parking lots for the complex’s employees. (...) And do we have to think about a parking area inside the complex? Or is the whole complex pedestrian? the overall landscape design. (...) The complex is pedestrian with the exception of the traffic from the few cars, which will have access inside the complex.
Language:English
Score: 542699.2 - https://en.unesco.org/sites/de...tions_-_al_nouri_arch_comp.pdf
Data Source: un