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Improved direct mode (selection of spatial/temporal candidate without signaling, SAD competition at decoder and encoder) MB-adaptive WP Block-based pyramid prediction 16x16 DCT Directional transforms Enhanced BALF (two Wiener filters adaptively switched) Modified de-blocking filter C Software written from scratch, multiple OS JCTVC-A108 (JVC) Geometry transform prediction of MVs Decoder-side block boundary decision Refinement of MC by decoder-side estimation AC ramp prediction using DC and boundary QALF from KTA JM16.2 JCTVC-A109 (MediaTek) MB Size extension (up to 64x64) Advanced adaptive IF Decoder-side MV derivation with various adaptations Enhanced spatio-temporal direct mode Scaled motion vector prediction Enhanced intra prediction: Overlapped block, 9 modes for 16x16, context-dependent mode DCT up to 32x32 Multiple model KLT for Intra Adaptive LF: QALF with multiple filters and more granular switching Adaptive scan of transform coefficients for intra KTA2.6 JCTVC-A110 (LG) MB Size extension (up to 64x64) Inter-Intra mixed mode, partial skip Scaled MV predictor Template-based illumination compensation Modified motion vector competition Intra prediction for 32x32 Chroma-from-luma intra prediction New MDDT kernels Adaptive de-blocking filter based on Wiener filter, QALF JM 11 JCTVC-A111 (Huawei & Hisilicon) Flexible macroblock partitions: H/V/D at arbitrary positions Template-based motion derivation Template-based inter-frame DC offset Second order prediction for residual signal with directional characteristics Resample-based intra prediction Line-based intra prediction RD optimized transform for intra prediction: Separable KLT Directional transform (non-separable KLT) to the residual signal of MC prediction Adaptive frequency-weighted quantization KTA 2.6 JCTVC-A112 (RWTH Aachen) Decoder-side motion vector derivation, P and B pictures, extended to larger MB sizes, candidate-based fast search KTA2.6 JCTVC-A113 (SK telecom, Sejong Univ. & Sungkyunkwan Univ.) 32x32 MB and new partitions Tree coding for partition type Adaptive motion vector precision (down to 1/8 pel) Intra prediction of larger blocks, special coding of modes Up to 16x16 DCT MDDT QALF+HPF Modified JM 15.2 JCTVC-A114 (France Telecom, NTT, NTT DOCOMO, Panasonic, & Technicolor) Basic structure: superblocks 8x8 1/8 pel precision for motion Basic motion unit 8x8, boundary can be diplaced 2 or 4 pixels MV comp. in P 2 interpolation modes: fixed and Wiener Zero-tree coding of (differential) motion information, displacement offset etc. (...) Load balancing v2v codes as entropy coding engine. v2v codes in serial modes using primary and secondary Huffman codes KTA 2.6r1 JCTVC-A121 (Qualcomm) Extended MB Geometric partitioning Adaptive motion vector resolution (1/4 and 1/8) Switched interpolation filters with offset: 6-tap, 8-tap and 4x4 non-separable P direct mode Scaled MV prediction MDDT 16x16 transform (LLM factorization) In-loop filter (modified, merge of QALF and post filter, up to 16 filters, diamond-shaped filters to reduce overhead and complexity) KTA optimized (faster) JCTVC-A122 (NHK & Mitsubishi) MB Size extension (up to 64x64) Hierarchical motion partitions Adaptive direct vector derivation Spatio-temporal adaptive PMV decision Non-rectangular motion partition shapes New 16x16 intra prediction modes: Global plane (surface) prediction, iterative adjustment prediction 16x16 DCT Discrete Sine Transform (DST) Enhanced BALF (two Wiener filters adaptively switched) Modified de-blocking filter C Software from scratch, multiple OS (same platform as A107) JCTVC-A123 (NCTU) Parametric OBMC KTA 2.4r1 JCTVC-A124 Samsung & BBC Flexible block structure (coding unit, prediction unit, transform unit), quad-tree based Asymmetric partitions such as 1/4:3/4 Signaling of motion pred. choice DCT based interpolation filter High accuracy motion (1/12 bit refinement) New intra pred methods: Arbitrary direction intra prediction, color comp. corr. pred. for intra, pixel-based template matching, combined intra prediction (ADI with local mean) Integer DCT NxN (up to 64x64 used) Rotational DCT “Logical transform” with a wavelet-like tree for larger blocks IBDI Loop filtering: de-blocking, extreme correction, band correction, content adaptive dynamic range, ALF re-using CU partitions Syntax-based CABAC, coding engine similar to JPEG annex D Adaptive coefficient scanning (hor/vert/diag) C/C++ built from scratch (not object oriented) JCTVC-A125 (BBC & Samsung; A124 without some or slightly modified tools) No asymm. Partitions No pixel-based template matching IBDI De-blocking Coding Unit - Based ALF Same as A124 JCTVC-A126 (Renesas) Intra vector prediction by block matching Intra repetitive pixel replenishment based on template matching KTA JCTVC-A127 (ETRI) Extended MB size 32x32 Intra prediction mode 32x32, intra prediction 16x16 with directions Recursive intra prediction, pre-filter at boundaries before prediction, post filter after prediction Up to 32x32 MDDT Simplified deblocking filter, only boundary pixels Enhanced QALF KTA2.3 Page: 10 Date Saved: 2010-04-23
Language:English
Score: 797235.5 - https://www.itu.int/wftp3/av-a...10_04_A_Dresden/JCTVC-A203.doc
Data Source: un
The annex provides a summary of the findings from a number of the most well-known instances of crime prediction implementation. 3. Conclusions CrimeRadar is an innovative AI-based solution that utilizes historical city crime data to predict crime. (...) Limitations of crime prediction: For all their promise, predictive crime analytics are not a panacea. (...) It is important to stress that predictive policing goes beyond basic online mapping tools that track crime.
Language:English
Score: 797110.64 - https://www.itu.int/en/publica...l/files/basic-html/page13.html
Data Source: un
For Total attenuation, select the rows whose FLAG5 = 0T or SE. Prediction of excess attenuation Compute the excess (i.e., rain only) attenuation for the selected rain attenuation prediction method using the rain rate data required by the prediction method. (...) As an additional example, for rain attenuation prediction methods that use the whole probability distribution, Rp , compute the excess attenuation using the procedure shown in Figure 4, and ignore all outage probabilities or rows where the prediction method cannot predict the excess attenuation. (...) Refer to the prior paragraph for the prediction of the rain attenuation portion of total attenuation.
Language:English
Score: 797053.1 - https://www.itu.int/dms_pub/it.../0a/04/R0A040000060001MSWE.doc
Data Source: un
(Temporally) scaled MV prediction 2.1.4. Other prediction methods 2.2. Motion partitioning 2.2.1. (...) Combined spatial/temporal prediction 4. Intra prediction 4.1. Directional prediction 4.1.1. (...) Pre and post filtering 4.2. Plane prediction 4.3. Pyramid/interleaved prediction 4.4.
Language:English
Score: 796540.43 - https://www.itu.int/wftp3/av-a...10_04_A_Dresden/JCTVC-A202.doc
Data Source: un
Potential subtopics are broadly classified by Yan et al (2019 ) into the 4 subtopic categories listed below: [ X ] CLINICAL PREDICTIONS - Cardiovascular disease (CVD) Risk Prediction . (...) To distinguish the CVD risk prediction accuracy gain derived from using ML risk prediction algorithms from that derived from just using more variables, the more complex ML risk prediction using more variables can be compared to a simpler ML risk prediction using the same 7 core predictors typically used by CVD risk scoring tools/prediction calculators. (...) Advanced metrics to be compared include area under the curve/AUC (area under the receiver operating characteristic, AUROC); sensitivity; specificity; positive predictive value (PPV); negative predictive value (NPV).
Language:English
Score: 796380.8 - https://www.itu.int/en/ITU-T/f...ents/all/FGAI4H-H-006-A01.docx
Data Source: un
- 2 - 3M/FAS/3(Rev.3)-E Radiocommunication Study Groups INTERNATIONAL TELECOMMUNICATION UNION Source: Document 3M/TEMP/18 Subject: Earth-space prediction methods Revision 3 to Document 3M/FAS/3-E 5 July 2016 English only Working Party 3M fascicle Guidelines for testing earth-space prediction methods Table of contents 1 Introduction 1 2 DBSG3 Version 2 3 DBSG3 Pre-processing 2 4 Prediction of excess attenuation 3 5 Prediction of total attenuation 3 6 Testing method 7 7 Testing results 7 8 Contact Information 8 9 References 8 1 Introduction In its Recommendations, Study Group 3 publishes recommended methods for the prediction of oxygen, water vapour, cloud, rain, scintillation, and total attenuation on Earth-space paths. (...) Step 4: Limit the weight of any single dataset to a maximum of 10 years. 4 Prediction of excess attenuation Compute the excess (i.e., rain only) attenuation for the selected rain attenuation prediction method using the rain rate data required by the prediction method. (...) As an additional example, for rain attenuation prediction methods that use the whole probability distribution, Rp , compute the excess attenuation using the procedure shown in Figure 4, and ignore all outage probabilities or rows where the prediction method cannot predict the excess attenuation.
Language:English
Score: 796347.9 - https://www.itu.int/dms_pub/it...0a/04/R0A040000060004MSWE.docx
Data Source: un
Introduction to H.264 Intra prediction H.264 FRExt uses several types of spatial predictions such as the 16 ´ 16, 8 ´ 8, 4 ´ 4 Green blocks, 16 ´ 16 Red block and 16 ´ 16 Blue block predictions. (...) The 16 ´ 16 block prediction makes use of four different prediction methods, viz. the vertical, horizontal, DC and planar modes. (...) Each prediction direction uses the previously-decoded block boundary pixels to predict the pixels in the 4 ´ 4 block.
Language:English
Score: 796347.9 - https://www.itu.int/wftp3/av-a...te/2005_07_Poznan/JVT-P016.doc
Data Source: un
In and AV1 support a cross-component prediction addition, 16 wedge prediction types, similar to mode. (...) The same color code is used on both figures with Fig. 2 – Partitions different color tints for VVC new inter-coding modes: orange for AMVP, green for Merge and blue 2.2 Intra coding for Skip. Intra prediction in HEVC is based on 33 angular VVC adds affine motion prediction to AMVP, Merge, predictors plus planar and DC modes, all predicted and Skip modes. (...) New matrix-based prediction motion information can be refined at the decoder to modes are also inserted for luma, leading to enhance the prediction per pixel at constant bit rate 30 additional modes.
Language:English
Score: 796327.2 - https://www.itu.int/en/publica...1/files/basic-html/page97.html
Data Source: un
Mode 0 is ‘DC-prediction’ (see below). The other modes represent directions of predictions as indicated below. 3.5.1 Mode 0: DC prediction Generally all pixels are predicted by (A+B+C+D+E+F+G+H)//8. (...) A block may therefore always be predicted in this mode. 3.5.2 Mode 1: This mode is used only if all A,B,C,D are inside the picture. a is predicted by: (A+B)/2 e is predicted by B b,i are predicted by (B+C)/2 f,m are predicted by C c,j are predicted by (C+D)/2 d,g,h,k,l,n,o,p are predicted by D 3.5.3 Mode 2: Vertical prediction If A,B,C,D are inside the picture, a,e,i,m are predicted by A, b,f,j,n by B etc. 3.5.4 Mode 3: Diagonal prediction 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. 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,p 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)//4 d is predicted by (B+2C+D)//4 3.5.5 Mode 4:Horizontal prediction If E,F,G,H are inside the picture, a,b,c,d are predicted by E, e,f,g,h by F etc. 3.5.6 Mode 5: This mode is used only if all E,F,G,H are inside the picture. a is predicted by: (E+F)/2 b is predicted by F c,e are predicted by (F+G)/2 f,d are predicted by G i,g are predicted by (G+H)/2 h,j,k,l,m,n,o,p are predicted by H 3.5.7 Prediction of chroma blocks For chroma prediction there is only one mode.
Language:English
Score: 795915.33 - https://www.itu.int/wftp3/av-a...site/h26L/older_tml/tml7d0.doc
Data Source: un
Mode 0 is ‘DC-prediction’ (see below). The other modes represent directions of predictions as indicated below. 2.4.1 Mode 0: DC prediction Generally all pixels are predicted by (A+B+C+D+E+F+G+H)//8. (...) A block may therefore always be predicted in this mode. 2.4.2 Mode 1: This mode is used only if all A,B,C,D are inside the picture. a is predicted by: (A+B)/2 e is predicted by B b,i are predicted by (B+C)/2 f,m are predicted by C c,j are predicted by (C+D)/2 d,g,h,k,l,n,o,p are predicted by D 2.4.3 Mode 2: Vertical prediction If A,B,C,D are inside the picture, a,e,i,m are predicted by A, b,f,j,n by B etc. 2.4.4 Mode 3: Diagonal prediction 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. 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,p 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)//4 d is predicted by (B+2C+D)//4 2.4.5 Mode 4:Horizontal prediction If E,F,G,H are inside the picture, a,b,c,d are predicted by E, e,f,g,h by F etc. 2.4.6 Mode 5: This mode is used only if all E,F,G,H are inside the picture. a is predicted by: (E+F)/2 b is predicted by F c,e are predicted by (F+G)/2 f,d are predicted by G i,g are predicted by (G+H)/2 h,j,k,l,m,n,o,p are predicted by H 2.4.7 Prediction of chroma blocks For chroma prediction there is only one mode.
Language:English
Score: 795762.2 - https://www.itu.int/wftp3/av-a...site/h26L/older_tml/tml6d0.doc
Data Source: un