Back to Search
Author profile
Affiliations
Known Emails
Documents
Optimization of encoders and receiving systems for machine analysis of coded video content (Draft 10)
Exploration experiment on neural network-based video coding (EE1)
EE1-related: QP to QI mapping for intra-frame coding with DCVC
EE1: Summary report of exploration experiment on neural network-based video coding
Crosscheck of JVET-AP0218: “EE1-5: operational bit-exact reproducibility”
EE2: Summary report of exploration experiment on enhanced compression beyond VVC capability
JVET AHG report: Optimization of encoders and receiving systems for machine analysis of coded video content (AHG8)
JVET AHG report: Ultra-low latency and packet loss resilience (AHG18)
Description of algorithms version 14 and software version 16 in neural network-based video coding (NNVC)
Exploration experiment on neural network-based video coding (EE1)
Exploration experiment on enhanced compression beyond VVC capability (EE2)
Crosscheck of JVET-AO0217 (AhG14: Improved SADL implementation)
Suggested changes on Draft ISO/IEC TR 23888-3
EE1: Summary report of exploration experiment on neural network-based video coding
EE2: Summary report of exploration experiment on enhanced compression beyond VVC capability
JVET AHG report: Ultra-low latency and packet loss resilience (AHG18)
JVET AHG report: Optimization of encoders and receiving systems for machine analysis of coded video content (AHG8)
AHG18: Teleconference on ultra-low latency and packet loss resilience
Algorithm description of Enhanced Compression Model 19 (ECM 19)
Description of algorithms version 13 and software version 15 in neural network-based video coding (NNVC)
Exploration experiment on neural network-based video coding (EE1)
Exploration experiment on enhanced compression beyond VVC capability (EE2)
EE1: Summary report of exploration experiment on neural network-based video coding
Ericsson, Fraunhofer HHI and Nokia responses to Joint CfE on Video Compression with Capability beyond VVC
EE2: Summary report of exploration experiment on enhanced compression beyond VVC capability
JVET AHG report: Ultra-low latency and packet loss resilience (AHG18)
JVET AHG report: Optimization of encoders and receiving systems for machine analysis of coded video content (AHG8)
Algorithm description of Enhanced Compression Model 18 (ECM 18)
AHG18: Teleconference on ultra-low latency and packet loss resilience
Exploration experiment on enhanced compression beyond VVC capability (EE2)
EE1: Exploration experiment on neural network-based video coding
Description of algorithms version 12 and software version 14 in neural network-based video coding (NNVC)
EE2: Summary report of exploration experiment on enhanced compression beyond VVC capability
EE1: Summary report of exploration experiment on neural network-based video coding
Description of algorithms version 11 and software version 13 in neural network-based video coding (NNVC)
JVET AHG report: Ultra-low latency and packet loss resilience (AHG18)
JVET AHG report: Optimization of encoders and receiving systems for machine analysis of coded video content (AHG8)
Algorithm description of Enhanced Compression Model 17 (ECM 17)
AHG18: 2nd teleconference on ultra-low latency and packet loss resilience
AHG18: Teleconference on ultra-low latency and packet loss resilience
Exploration experiment on enhanced compression beyond VVC capability (EE2)
Optimization of encoders and receiving systems for machine analysis of coded video content (Draft 9)
EE1: Exploration experiment on neural network-based video coding
Optimization of encoders and receiving systems for machine analysis of coded video content (Draft 8, for future updates)
Crosscheck of JVET-AL0145 (EE1-1.4: Conditional loop-filter)
EE2: Summary report of exploration experiment on enhanced compression beyond VVC capability
EE1: Summary report of exploration experiment on neural network-based video coding
Description of algorithms version 10 and software version 12 in neural network-based video coding (NNVC)
JVET AHG report: Optimization of encoders and receiving systems for machine analysis of coded video content (AHG8)
JVET AHG report: Ultra-low latency and packet loss resilience (AHG18)
EE1-3.1: Retraining LOP4 and LOP5 using extended dataset from BVI-AOM
AHG18: Teleconference on ultra-low latency and packet loss resilience
Algorithm description of Enhanced Compression Model 16 (ECM 16)
Exploration experiment on enhanced compression beyond VVC capability (EE2)
Exploration Experiments on Neural Network-based Video Coding (EE1)
Report on NN-ILF interface for ECM
EE1: Summary report of exploration experiment on neural network-based video coding
AHG10: Suggested upgrade of CTC for random access for VTM
EE2-4.1: Restrictions on ALF coefficient values
EE2: Summary report of exploration experiment on enhanced compression beyond VVC capability
Description of algorithms version 9 and software version 11 in neural network-based video coding (NNVC)
AHG8: Dense QP results for joint software
JVET AHG report: Optimization of encoders and receiving systems for machine analysis of coded video content (AHG8)
Algorithm description of Enhanced Compression Model 15 (ECM 15)
EE2-5.1: Adaptive Mantissa Precision for ALF Coefficients
Optimization of encoders and receiving systems for machine analysis of coded video content (Draft 7)
Exploration Experiments on Neural Network-based Video Coding (EE1)
Exploration experiment on enhanced compression beyond VVC capability (EE2)
EE2-5.1 related: Scaling of Adaptive Loop Filter (ALF)
EE2: Summary report of exploration experiment on enhanced compression beyond VVC capability
EE1: Summary report of exploration experiment on neural network-based video coding
Crosscheck of JVET-AJ0165 (EE1-1.2 LOP with residual groups and Attention)
EE1-1.3: Neural network-based in-loop filters using early cropping
AHG8: TR status and development
AHG8: Combination tests with postfilter
AHG11: Report of retraining LOP3 with new sequences from JVET-AH0120
Algorithm description of Enhanced Compression Model 14 (ECM 14)
Description of algorithms version 8 and software version 10 in neural network-based video coding (NNVC)
Exploration experiment on enhanced compression beyond VVC capability (EE2)
Exploration Experiments on Neural Network-based Video Coding (EE1)
EE2: Summary report of exploration experiment on enhanced compression beyond VVC capability
AHG8: RPR for machine consumption
AHG12: Adaptive Mantissa Precision for ALF Coefficients
EE1-related: Improved gain for NN in-loop filters using early cropping
Crosscheck of JVET-AI0221 (EE1-1.3: On Low Complexity Operational Point for In-Loop Filtering)
EE1: Summary report of exploration experiment on neural network-based video coding
EE1-1.5: VLOP using LOP3 architecture
Description of algorithms and software in neural network-based video coding (NNVC) version 7
AHG11: Report of retraining LOP3 with new sequences from JVET-AH0120
Algorithm description of Enhanced Compression Model 13 (ECM 13)
Exploration experiment on enhanced compression beyond VVC capability (EE2)
Exploration Experiments on Neural Network-based Video Coding (EE1)
AHG8: RPR for machine consumption
EE1-related: Complexity reduction of NN in-loop filters through early cropping
EE1: Summary report of exploration experiment on neural network-based video coding
EE2: Summary report of exploration experiment on enhanced compression beyond VVC capability
EE1-1.3: Training from scratch for the joint LOP model with inputs transformed
EE1-1.2: Joint LOP model with inputs transformed
Algorithm description of Enhanced Compression Model 12 (ECM 12)
Exploration experiment on enhanced compression beyond VVC capability (EE2)
Description of algorithms and software in neural network-based video coding (NNVC) version 6
Exploration Experiments on Neural Network-based Video Coding (EE1)
EE2: Summary report of exploration experiment on enhanced compression beyond VVC capability
AHG12: GOP-based RPR encoder control for ECM
AhG11: LOP with inputs transformed
EE1: Summary report of exploration experiment on neural network-based video coding
Algorithm description of Enhanced Compression Model 11 (ECM 11)
Description of algorithms and software in neural network-based video coding (NNVC) version 5
Exploration experiment on enhanced compression beyond VVC capability (EE2)
Exploration Experiments on Neural Network-based Video Coding (EE1)
EE1: Summary report of exploration experiment on neural network-based video coding
EE2-5.1: Dynamic Scaling of Bilateral Filter (BIF)
EE2: Summary report of exploration experiment on enhanced compression beyond VVC capability
AHG12: GOP-based RPR encoder control for ECM
Algorithm description of Enhanced Compression Model 10 (ECM 10)
Description of algorithms and software in neural network-based video coding (NNVC) version 4
Exploration experiment on enhanced compression beyond VVC capability (EE2)
Exploration Experiments on Neural Network-based Video Coding (EE1)
EE2: Summary report of exploration experiment on enhanced compression beyond VVC capability
AHG12: Dynamic Scaling of Bilateral Filter (BIF)
EE1: Summary report of exploration experiment on neural network-based video coding
Crosscheck of JVET-AE0067 (EE1-4.1: Neural-network loop filters with further complexity reduction)
[AHG8] Study on using different VTM versions
Algorithm description of Enhanced Compression Model 9 (ECM 9)
Exploration experiment on enhanced compression beyond VVC capability (EE2)
Description of algorithms and software in neural network-based video coding (NNVC) version 3
Exploration Experiments on Neural Network-based Video Coding (EE1)
EE1-1.4 Channel redistribution for luma and chroma
Crosscheck of JVET-AD0156 (EE1-1.1: Complexity Reduction on Neural-Network Loop Filter)
Crosscheck of JVET-AD0236 (Non-EE2: On Classification of In-Loop Filters)
EE1: Summary report of exploration experiment on neural network-based video coding
EE2: Summary report of exploration experiment on enhanced compression beyond VVC capability
AHG11/AHG14: Fix input QP for NN filter set #1
[AHG8] Configuration changes for random access and low delay
[AHG8] Additional details on RoI-based adaptive QP for TR
Algorithm description of Enhanced Compression Model 8 (ECM 8)
Description of algorithms and software in neural network-based video coding (NNVC) version 2
Exploration experiment on enhanced compression beyond VVC capability (EE2)
Exploration experiment on neural network-based video coding (EE1)
Crosscheck of EE1-3.2 (JVET-AC0116 : neural network-based intra prediction with learned mapping to VVC intra prediction modes)
EE1-1.6: NN chroma model without partitioning input
EE1-related: Combination of EE1-1.5 and EE1-1.7
Crosscheck of JVET-AC0055 (EE1-1.11: Content-adaptive post-filter)
EE1: Summary report of exploration experiments on neural network-based video coding
EE1-related: Reduced complexity through channel redistribution in NN head
EE2: Summary report of exploration experiments on enhanced compression beyond VVC capability
EE1-1.5: Combined intra and inter models for luma and chroma
Algorithm description of Enhanced Compression Model 7 (ECM 7)
Description of algorithms and software in neural network-based video coding (NNVC)
Exploration Experiment on Enhanced Compression beyond VVC capability (EE2)
EE1: Summary of Exploration Experiments on Neural Network-based Video Coding
Information about Ericsson’s response to the CfP for Video Coding for Machines
EE1-1.2: NN intra model without attention and partitioning strength
EE1-1.5: One luma model with IPB and/or skip for filtering intra and inter luma slices
AHG12: Inter-RPL and 1-byte NAL unit headers
Preliminary draft of algorithm description for Neural Compression Software (NCS-1)
EE2: Summary Report on Enhanced Compression beyond VVC capability
Crosscheck of JVET-AB0068 (EE1-1.6: RDO Considering Deep In-Loop Filtering)
AHG9: On complexity metrics for NN post-filter characteristics SEI message
AHG9: On NN post-filter activation SEI message
Algorithm description of Enhanced Compression Model 6 (ECM 6)
EE1-1.6: Deep In-Loop Filter With Fixed Point Implementation
Exploration Experiment on Enhanced Compression beyond VVC capability (EE2)
EE1-related: One luma model with IPB and skip for filtering intra and inter luma slices
EE1-1.2: NN intra model without attention, partitioning and boundary strength
EE2: Summary Report on Enhanced Compression beyond VVC capability
Algorithm description of Enhanced Compression Model 5 (ECM 5)
Exploration Experiment on Enhanced Compression beyond VVC capability (EE2)
EE1-related: Reduced complexity NN loop filter and ablation study
AHG10: Deblocking in RDO and beta offset minus 2 for VTM
EE2: Summary Report on Enhanced Compression beyond VVC capability
EE1-1.7: Combined Test of EE1-1.6 and EE1-1.3
EE1-1.3: Combination of deblocking and NN
Algorithm description of Enhanced Compression Model 4 (ECM 4)
Exploration Experiment on Enhanced Compression beyond VVC capability (EE2)
AHG10: Block importance mapping for ECM
Crosscheck of JVET-Y0147 (EE2-5.2: Adaptive Filter Shape Selection for ALF)
EE2: Summary Report on Enhanced Compression beyond VVC capability
EE1-related: Combination of VVC deblocking and NN loop filtering
AHG 10: Enhanced deblocking settings for VTM CTC
Algorithm description of Enhanced Compression Model 3 (ECM 3)
Crosscheck of EE1-1.2.1 from JVET-Y0143 (EE1-1.2: Test on Deep In-Loop Filter with Adaptive Parameter Selection and Residual Scaling)
AHG10: Block importance mapping
Exploration Experiment on Enhanced Compression beyond VVC capability (EE2)
EE2: Summary Report on Enhanced Compression beyond VVC capability
Exploration Experiment on Enhanced Compression beyond VVC capability (EE2)
Algorithm description of Enhanced Compression Model 2 (ECM 2)
AHG 10: Alignment of smooth QP control with adaptive QP in VTM
AHG10: GOP-based RPR encoder control
AHG10: Encoder MV selections and DMVR
EE2: Summary Report on Enhanced Compression beyond VVC capability
Preliminary draft of algorithm description for Enhanced Compression Model 1 Software (ECM 1)
AHG12: on the status of the ECM software
Exploration Experiment on Enhanced Compression beyond VVC capability (EE2)
[AHG10] GOP-based temporal filter improvements
Crosscheck of JVET-V0095
[AHG10] Block importance mapping
AHG 10: QP control for very smooth blocks
EE2: Bilateral filter in VTM, EE2 and VVenC
EE2: Summary Report on Enhanced Compression beyond VVC capability
AHG9: Temporal sublayer information SEI message
Exploration Experiment on Enhanced Compression beyond VVC capability
[AHG10] GOP-based temporal filter improvements
AGH10: ALF filter optimization with filter strength target
Working practices using objective metrics for evaluation of video coding efficiency experiments (Draft 4)
AHG9: Picture output suppression SEI message
Results for GOP-based temporal filtering for SDR and HDR on top of GOP 32 configuration
Working practices using objective metrics for evaluation of video coding efficiency experiments (Draft 3)
Addition of a GOP hierarchy of 32 for random access configuration for VTM
AHG12: Raster scan order subpictures
AHG9: Modifications on VPS OLS DPB related parameters
AHG9: Extensibility for the number of virtual boundaries
On definition of the VVC Still Picture profiles
AHG9: On General Constraint Information
AHG9: Order of the sublayer_level_idc[ i ] syntax elements
AHG9: Proposed fixes to HLS
AHG9: Inference of chroma deblocking offset values in the PH and SH
AHG9: Signalling of Virtual Boundary Positions
AHG9: General constraint information semantics constraints
AHG9: On the sign of DeltaPocValSt
AHG9: Cleanup of high-level signalling of BDOF, DMVR and PROF
Summary information on BD-rate experiment evaluation practices
Fixes for 6-tap interpolation filtering for affine motion compensation
Fixes for 4-tap interpolation filtering
On modes in geometric partitioning
Additional fix for ALF virtual boundary processing
AHG12: Raster scan order flag for subpictures
AHG9: Virtual boundaries in increasing order using u(v)
AHG5: Conformance bitstreams with decoder conditions
AHG9: Signalling the parallel merge level relative to the minimum coding block size
Modifications of motion storage in geometric partition mode
AHG9: Byte alignment modifications
AHG9: Chroma deblocking strength signalling
Summary information on BD-rate experiment evaluation practices
Suggested content for summary information on BD-rate experiment evaluation practices
Fix for ALF virtual boundary processing
CC-ALF: Integrated Text for the Cross Component Adaptive Loop Filter
CE5-related: On the CC-ALF filtering process
Non-CE5: Multiplication simplification for ALF and CC-ALF
CE4-related: GEO memory reduction in weighting masks by fixed shifting
Crosscheck of JVET-Q0490: CE3-related: Simplification of rice parameter derivation
Crosscheck of JVET-Q0315: Non-CE4: Triangular prediction mode with motion vector difference
Crosscheck of JVET-Q0249: Clipping flag clean-up for chroma adaptive loop filters
AHG10: Performance of the GOP-based temporal filter in VTM-6.1
Crosscheck of JVET-P0504: CE5-related: Harmonization of Hadamard filter, SAO and ALF
Crosscheck of JVET-P0412: CE5-related: On further modification of Hadamard filter from CE5-3.2
Non-CE3: Combined cleanup of MIP
Crosscheck of JVET-P0255: CE5-related: Bilateral filter with SAO band offset
Non-CE6: On MTSIntraMaxCand
CE5-related: Interaction between Bilateral Filter and Cross-Component Adaptive Loop Filter
Non-CE3: Align MIP matrix multiplication process
CE3-related: MIP downsampling process with re-trained MIP matrix
CE5-3.1: Combination of bilateral filter and SAO
Non-CE3: Enable MIP prediction for 64×N or N×64 blocks at maximum transform size 32
CE3-1: MIP downsampling process – align positions of reduced boundary samples with positions of reduced prediction samples
Crosscheck of JVET-O1120: Non-CE5: Hadamard transform domain in-loop filter
AHG13: Tool-off tests on Open Images dataset
Combined bilateral/SAO loop filter
AHG12: Signalling of addresses for rectangular slices
Non-CE6: Reduced MTS
Non-CE3: Simplifications of MIP
Non-CE6: On LFNST index coding
CE6-1.2 Transform Candidate Ordering
Non-CE3: Simplification on MIP boundary sample downsampling process
Non-CE3: Sample value clipping on MIP reduced prediction
CE1: Summary Report on Post-prediction and post-reconstruction filtering
CE1-6: Intra reference sample deblocking
CE6-related: Transform Candidate Ordering
Non-CE3: History-based intra MPM default angular modes derivation
CE1-related: Multiplication-free bilateral loop filter
CE6: Transform Simplification (CE6-2.3a-c)
CE1: Bilateral filter tests
Description of Core Experiment 1 (CE1): Post-prediction and post-reconstruction filtering
Cross-check of JVET-M0042: CE10: Uniform Directional Diffusion Filters For Video Coding
CE4-related: On MVP candidate list generation for AMVP
CE-6 related: Transform Simplification
Cross-check of JVET-M0468 (Non-CE: Hadamard transform domain filter)
Non-CE3: History-based intra most probable modes derivation
CE14 related: Decoder run time analysis non-SIMD and SIMD
CE6-related: Transform Simplification
CE14: Crosscheck of CE14.3 (JVET-L326)
CE14-related: Inter-only bilateral filtering
CE14: Reduced latency, LUT-free bilateral filter
CE2 related: Reduced complexity bilateral filter
Chroma Adjustment for SDR Video
EE2-JVET related: Division-free bilateral filter
MS-SSIM as an additional mandatory metric to PSNR for future video coding
EE2-JVET-E0032 Bilateral filter Test 1, Test2
Bilateral filter strength based on prediction mode
EE2-JVET-D0069 Bilateral filter Test1, Test2, Test3
Crosscheck of JVET-O0447: Enabling tools for small blocks in small pictures
Description of algorithms version 16 and software version 18 in neural network-based video coding (NNVC)
Withdrawn
AHG10/AHG12: Clean-Slate NextSoftware2 implementation without future Video Coding Tools
EE1: Summary report of exploration experiment on neural network-based video coding
JVET AHG report: Ultra-low latency and packet loss resilience (AHG18)
JVET AHG report: Optimization of encoders and receiving systems for machine analysis of coded video content (AHG8)
Algorithm description of Enhanced Compression Model 20 (ECM 20)
Description of algorithms version 15 and software version 17 in neural network-based video coding (NNVC)
EE1: Summary of Exploration Experiments on Neural Network-based Video Coding