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Overview of Specification Changes 3.1 8x8 Intra Prediction The proposed luma 8x8 intra prediction tool is a logical extension of the existing luma 4x4 intra prediction tool. Whereas the 4x4 intra prediction uses 13 surrounding luma values, the 8x8 intra prediction uses 25 surrounding luma values. (...) Table 8‑2 – Specification of Intra8x8PredMode[ luma8x8BlkIdx ] and associated names Intra8x8PredMode[ luma8x8BlkIdx ] Name of Intra8x8PredMode[ luma8x8BlkIdx ] 0 Intra_8x8_Vertical (prediction mode) 1 Intra_8x8_Horizontal (prediction mode) 2 Intra_8x8_DC (prediction mode) 3 Intra_8x8_Diagonal_Down_Left (prediction mode) 4 Intra_8x8_Diagonal_Down_Right (prediction mode) 5 Intra_8x8_Vertical_Right (prediction mode) 6 Intra_8x8_Horizontal_Down (prediction mode) 7 Intra_8x8_Vertical_Left (prediction mode) 8 Intra_8x8_Horizontal_Up (prediction mode) Let intra8x8PredModeA and intra8x8PredModeB be variables that specify the intra prediction modes of neighbouring 8x8 luma blocks.
Language:English
Score: 684938.57 - https://www.itu.int/wftp3/av-a...003_09_SanDiego/JVT-I022d1.doc
Data Source: un
BDCT indicating whether prediction error coding is present for B-region. Prediction of a B-region in PB-frame Each region in the B-frame can be predicted in one of the following modes: Forward prediction (with respect to previous decoded P picture; i.e. P1- frame) Backward prediction (with respect to currently decoded P picture; i.e. (...) To build the final bidirectional prediction, pixel values obtained by forward and backward predictions are first quantized to integer precision then averaged and truncated.
Language:English
Score: 684813.87 - https://www.itu.int/wftp3/av-a...video-site/9706_Por/q15a51.doc
Data Source: un
Simulation Results on Global Motion Compensation Core Experiment 441 Sugiyama Results of Prediction Experiments 442 Sugiyama Results of Leaky Prediction Experiments 443 Sugiyama Results of Quantisation Experiments 444 Sugiyama Results of Non-8x8DCT Experiments 445 Nakasu Non-8x8 DCT Experiment 446 Tahara et al. (...) Simulation results on compatibility core experiment No.1(a) in TM2 459 Kameyama et al Comparison of Prediction Modes and Simplified Test Model 460 Chinen et al. (...) Results of Core Experiment I.1 - Interlace-in-Interlace extraction 492 CNET - FT Result of the compatibility experiment 1c: H.261 SIF based prediction of Prediction Error vs Prediction of Input in Frame structure pictures 493 AT&T Leaky prediction: Eliminating the limit cycle 494 AT&T Leaky prediction: Experimental results 495 BT TM2 compatibility experiments 496 Haskell WD 11172-4 Conformance testing 497 Nocture Results on TM2 from the VADIS European collaboration 498 CNET-FT Simulation results of the basic TM2 499 LEP Additional tests on FAMC compensation mode 500 U.
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Score: 684572.1 - https://www.itu.int/wftp3/av-a.../Report_texts/AVC-0355R_a3.txt
Data Source: un
This is a 'diagonal' prediction. m is predicted by: (H+2G+F)//4 i,n are predicted by (G+2F+E)//4 e,j,o are predicted by (F+2E+I)//4 a,f,k,l are predicted by (E+2I+A)//4 b,g,l are predicted by (I+2A+B)//4 c,h are predicted by (A+2B+C)// d is predicted by (B+2C+D)//4 Mode 4: This mode is used only if all A,B,C,D,E,F,G,H,I are inside the picture. This is a 'diagonal' prediction. a is predicted by (B+F)/2 b,e are predicted by (C+G)/2 The remaining pixels are predicted by (D+H)/2 4.2.2 Coding of Intra prediction modes Since each of the 4x4 luma blocks shall be assigned a prediction mode, this will require a considerable number of bits if coded directly. (...) Signaling of which frame to be used for prediction of a macro block will be: CODE word number 0 indicate prediction from the most recent frame, CODE word number 1 indicate prediction from the next most recent frame etc. 4.10.1 Vector prediction To use more than one frame for prediction has an influence on prediction of vectors.
Language:English
Score: 684197.6 - https://www.itu.int/wftp3/av-a...video-site/9811_Seo/q15f11.doc
Data Source: un
Objectives Objectives:  Upon successful completion of the programme, participants will be able to: Explore data to better understand relationships among variables Apply some basic techniques to develop predictive models from data Choose and implement appropriate performance measures for predictive models Understand how to ensemble models to improve predictions Course Methodology Course Methodology:  This course is delivered entirely online, in partnership with IE University faculty and key experts in data analytics. (...) Course Contents Course Contents:  Week 1: Why prediction and modelling from data? Predictive modelling in the UN What is a predictive model? Time dimension in predictive analytics Week 2: Predictive Analytics Modelling from data - applications Predictive modelling - regressions Machine Learning for predictive modelling Week 3: Applying predictive analytics in intergovernmental scenarios The wisdom of the crowds- ensembles and multi-modelling What can and cannot be predicted, black swans and future tellers Ethical issues in Machine Learning The practices will be performed using BigML, which is a tool that has a free license for users.
Language:English
Score: 683771.1 - https://www.unssc.org/courses/...edictive-analytics-un-context/
Data Source: un
Objectives Objectives:  Upon successful completion of the programme, participants will be able to: Explore data to better understand relationships among variables Apply some basic techniques to develop predictive models from data Choose and implement appropriate performance measures for predictive models Understand how to ensemble models to improve predictions Course Methodology Course Methodology:  This course is delivered entirely online, in partnership with IE University faculty and key experts in data analytics. (...) Course Contents Course Contents:  Week 1: Why prediction and modelling from data? Predictive modelling in the UN What is a predictive model? Time dimension in predictive analytics Week 2: Predictive Analytics Modelling from data - applications Predictive modelling - regressions Machine Learning for predictive modelling Week 3: Applying predictive analytics in intergovernmental scenarios The wisdom of the crowds- ensembles and multi-modelling What can and cannot be predicted, black swans and future tellers Ethical issues in Machine Learning The practices will be performed using BigML, which is a tool that has a free license for users.
Language:English
Score: 683771.1 - https://www.unssc.org/node/239011/
Data Source: un
The reference picture for current block is selected according to certain rules defined as in subclause 8.4.1. For P (predictive) blocks, with exception of the 16x8 and 8x16 block shapes, "median prediction" is used to predict motion vector for current block E from neighboring blocks A, B, C as shown in Figure 1. (...) For B (bi-predictive) blocks, motion vector predictions are treated differently for two cases. (...) Proposed method In our contribution, we propose to unify motion vector prediction for all cases: direct mode, skip mode, predictive block and bi-predictive block.
Language:English
Score: 683558.45 - https://www.itu.int/wftp3/av-a...te/2002_10_Geneva/JVT-E061.doc
Data Source: un
For purposes of the spatial direct prediction only, scaling motion vector prediction should be disallowed. (...) Note also that the two conditions for W1 also allow us to not waste the bi-predictive case since in these particular cases prediction becomes identical to single list prediction without weighting. (...) List 1 prediction, which essentially appears to only be used when a block is bi-predicted, only uses references 0 and 1.
Language:English
Score: 683492.24 - https://www.itu.int/wftp3/av-a...e/2002_12_Awaji/JVT-F073r1.doc
Data Source: un
For the remaining 4x4 blocks a prediction is produced similar to the median prediction used in H.263. (...) Pixel to be predicted. There are three prediction modes: 1) the average of the 8 surrounding pixels, 2) vertical prediction, 3) horizontal prediction. Prediction mode is signalled for each 4x4 block to be predicted.
Language:English
Score: 683407.2 - https://www.itu.int/wftp3/av-a...video-site/9712_Eib/q15c23.doc
Data Source: un
This is a 'diagonal' prediction. m is predicted by: (H+2G+F+2)/4 i,n are predicted by (G+2F+E)+2/4 e,j,o are predicted by (F+2E+I+2)/4 a,f,k,p are predicted by (E+2I+A+2)/4 b,g,l are predicted by (I+2A+B+2)/4 c,h are predicted by (A+2B+C+2)/4 d is predicted by (B+2C+D+2)/4 2.4.5 Mode 4: Diagonal prediction II This mode is used only if all A,B,C,D,E,F,G,H,I are inside the picture. This is a 'diagonal' prediction. a is predicted by (B+F)/2 b,e are predicted by (C+G)/2 The remaining pixels are predicted by (D+H)/2 2.4.6 Prediction of chroma blocks For chroma prediction there is only one mode. (...) Prediction mode 1 has order 3 and prediction mode 2 has order 0 (most probable) etc.
Language:English
Score: 683375 - https://www.itu.int/wftp3/av-a...deo-site/9910_Red/q15i57d0.doc
Data Source: un