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The modules in the block namely prediction quantization are performed on the predicting signal. (...) Actually, the intra prediction in this proposal is similar to the prediction performed in frequency domain. (...) However, the most significant advantage of the proposed intra prediction is that it can greatly reduce the flicking caused by spatial prediction.
Language:English
Score: 687571.04 - https://www.itu.int/wftp3/av-a...te/2002_10_Geneva/JVT-E070.doc
Data Source: un
Weighted prediction in single layer The default explicit prediction weights are 0.5 for each reference texture in bi-directional prediction and 1.0 for one-directional prediction. (...) H.264 AVC derive optimal prediction with weighted prediction scheme.     s[2k]s[2k+1]s[2k+2] Figure 1 Weighted prediction Let the prediction weights are (k and (k for each reference textures, then prediction equation and high pass signal are derived as follows. ( ) ( ) [ ] ( ) ( ) 2 2 2 1 2 1 2 1 2 2 2 2 1 2 * * * * + + + + + + + - = - = + = k k k k k k weighted k k k k k k weighted s s s s s k h s s s b a b a P P 2. (...) JSVM 2.0 adopts residual prediction tool for residual coding efficiency. If two successive layers adopt different weighted prediction policy, residual prediction feature will not work well.
Language:English
Score: 687544.14 - https://www.itu.int/wftp3/av-a...te/2005_07_Poznan/JVT-P076.doc
Data Source: un
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 This course is delivered entirely online, in partnership with IE University faculty and key experts in data analytics. (...) 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: 687523.83 - https://www.unssc.org/courses/...redictive-analytics-un-context
Data Source: un
The modules in the block namely prediction quantization are performed on the predicting signal. (...) Actually, the intra prediction in this proposal is similar to the prediction performed in frequency domain. (...) However, the most significant advantage of the proposed intra prediction is that it can greatly reduce the flicking caused by spatial prediction.
Language:English
Score: 687307.23 - https://www.itu.int/wftp3/av-a.../2002_10_Geneva/JVT-E070r2.doc
Data Source: un
The modules in the block namely prediction quantization are performed on the predicting signal. (...) Actually, the intra prediction in this proposal is similar to the prediction performed in frequency domain. (...) However, the most significant advantage of the proposed intra prediction is that it can greatly reduce the flicking caused by spatial prediction.
Language:English
Score: 687307.23 - https://www.itu.int/wftp3/av-a.../2002_10_Geneva/JVT-E070r1.doc
Data Source: un
Both temporal and spatial direct prediction is used for direct prediction. Non-stored P slice is included in the stream. (...) Both temporal and spatial direct prediction is used for direct prediction. Stored B slice is included in the stream. (...) Both temporal and spatial direct prediction is used for direct prediction. Memory management control operation is used.
Language:English
Score: 687025.8 - https://www.itu.int/wftp3/av-a...te/2003_05_Geneva/JVT-H035.doc
Data Source: un
This project constitutes the hours-to-seasonal research component of the emerging WMO Global Integrated Polar Prediction System (GIPPS). A closely related WCRP Polar Climate Predictability Initiative covers GIPPS research on seasonal-to-decadal time scales. (...) The Year of Polar Prediction (YOPP) is the main flagship activity of the Polar Prediction Project. (...) The Second International Conference on Sub-seasonal to Seasonal Prediction (S2S) took place in Boulder (Sept 2018) jointly with the Second International Conference on Seasonal to Decadal Prediction (S2D).
Language:English
Score: 686654.74 - https://public.wmo.int/en/prog...rld-weather-research-programme
Data Source: un
Table 3: Code_number for Picture_type Code_number Picture Type 0 Inter picture with prediction from the most recent decoded picture only 1 Inter picture with possibility of prediction from more than one previous decoded picture. For this mode information reference picture for prediction must be signalled for each macroblock 2 Intra picture 3 B picture with prediction from the most recent previous decoded and subsequent decoded pictures only. 4 B picture with possibility of prediction from more than one previous decoded picture and subsequent decoded picture. (...) For this mode information reference picture for prediction must be signalled for each macroblock 2 Intra picture 3 B picture with prediction from the most recent previous decoded and subsequent decoded pictures only. 4 B picture with possibility of prediction from more than one previous decoded picture and subsequent decoded picture.
Language:English
Score: 686113.2 - https://www.itu.int/wftp3/av-a...e/2001_12_Pattaya/VCEG-O49.doc
Data Source: un
Table 3: Code_number for Picture_type Code_number Picture Type 0 Inter picture with prediction from the most recent decoded picture only 1 Inter picture with possibility of prediction from more than one previous decoded picture. For this mode information reference picture for prediction must be signalled for each macroblock 2 Intra picture 3 B picture with prediction from the most recent previous decoded and subsequent decoded pictures only. 4 B picture with possibility of prediction from more than one previous decoded picture and subsequent decoded picture. (...) For this mode information reference picture for prediction must be signalled for each macroblock 2 Intra picture 3 B picture with prediction from the most recent previous decoded and subsequent decoded pictures only. 4 B picture with possibility of prediction from more than one previous decoded picture and subsequent decoded picture.
Language:English
Score: 686113.2 - https://www.itu.int/wftp3/av-a...deo-site/0112_Pat/VCEG-O49.doc
Data Source: un
Tel: Fax: Email: +1 972 894 4045 +1 972 894 4589 jani.lainema@nokia.com Title: Improved Motion Vector Prediction for TML-4 Purpose: Proposal _____________________________ 1 Introduction This document proposes a new way to generate motion vector predictions. (...) Coding efficiency improvements are shown in the accompanying excel document ( q15k34.xls ). 2 Approach Proposed algorithm uses the motion vectors of the same three neighboring blocks as TML-4 to generate motion vector predictions. Improved coding efficiency is achieved by substituting the median prediction by a prediction using a motion vector of a single neighboring block if there is evidence that this can yield better prediction than the median approach. (...) Use the median prediction as defined in TML-4. 8 8 16 8 8 16 8 4 4 4 4 8 4 4 4 4 8 8 Figure 1: Neighboring blocks to be used in motion vector prediction with directional macroblock segmentations.
Language:English
Score: 686109.03 - https://www.itu.int/wftp3/av-a...video-site/0008_Por/q15k34.doc
Data Source: un