【DVB】DVB 2017年工作计划

本文档概述了DVB工作组从2017年至2018年的工作计划与活动,涉及地面广播、卫星广播、家庭网络等多个领域内的技术更新与规格制定。

DVB Workplan Issue 2 7-Mar-17   Key: - CM Activity TM Activity SB Approval Project Office SB Activity                                  
    TM-GBS - see Col D 2017 Activities 2018 Activities
  Activity Sub-Groups Involved Jan-17 Feb-17 Mar-17 Apr-17 May-17 Jun-17 Jul-17 Aug-17 Sep-17 Oct-17 Nov-17 Dec-17 Jan-18 Feb-18 Mar-18 Apr-18 May-18 Jun-18 Jul-18 Aug-18 Sep-18 Oct-18 Nov-18 Dec-18
Terrestrial Specifications DVB Terrestrial Vision Update CM-T   Long Term Vision Update CM Approves SB Approves                                  
In Home Networks (R4) incl. SAT>IP CM-T subgroup Fact Finding Mission   CM-T prepares In Home Networks CRs if required                              
Project Office Project Office discussions with SAT>IP                                        
Wideband (WiB) Study Missions (TM & CM) CM-T   CM considers market opportunities and commercial implications of the technology                      
TM-SM-WIB TM Evaluates technology and responds to CM                      
Filecasting (R9) CM-T CM fact-finding mission on Filecasting CM prepares Filecasting CRs, if required CM Approves SB Approves         CM Endorses SB Approves              
TM-T                   TM prepares TM develops Filecasting specification, if required                
Single Illumination CM-T                   CM Endorses specification SB Approves Specification                          
 TM-T TM develops Single Illumination specification                              
Satelite Specifications DVB Satellite Vision document CM-S     Satellite Vision Report prepared                                                                                                                     Satellite Vision Report prepared                        
Profile update to RCS2 Specification CM-S   RCS2 profile update - revised CRs prepared CM Approves SB Approves     CM Endorses SB Approves                          
TM-S           TM prepares TM develops profile update to RCS2 specification                            
AV Codec specifications UHD / HDR Specification Updates CM-AVC     CM identifies any CRs not sufficiently met     CM Endorses SB Approves                          
TM-AVC UHD spec queries       TM enhances UHD specification to address unmet CRs                              
UHD Subtitles
TTML and bitmap
CM-AVC-SUB           CM Endorses specification SB Approves Specification     CM Endorses specification SB Approves Specification                          
TM-SUB TM develops UHD subtitles (bitmap) specification TM develops UHD subtitles (TTML) specification                            
Supplementary Service Streams CM-AVC-SSS CM endorses HbbTV review SB endorses HbbTV review               CM Endorses HbbTV solution SB Endorses HbbTV solution                          
TM-CSS / TM-AVC   TM prepares TM assesses whether or not HbbTV can deliver each of the Supplementary Service Streams CRs     Further TM work if required                      
IP Delivery Specifications Multicast ABR CM-AVC                   CM Endorses specification SB Approves Specification                          
TM-IPI-ABR TM develops Multicast ABR specification                              
DVB-DASH for UHD CM-AVC           CM Endorses specification SB Approves Specification                                  
TM-IPI TM develops DVB-DASH for UHD specification                                      
HbbTV and validation TM-IPI Queries addressed                                            
Beyond Transport Stream Study Mission SMG-Beyond-TS SMG Report completed SB Approves SMG Report                                            
Security Specifications CI+ Update Requirements CM-CI+   CM prepares CRs for next version of CI+ CM Approves SB Approves                                  
TM-CI+ CI+ v1.4 Updates SB Approves       TM prepares TM develops next version of CI+ specification                        
Simulcrypt Headend Requirements Update CM-SIM CM Prepares Simulcrypt Headend CRs   CM Approves SB Approves                                  
TM: Not Yet Decided           TM prepares TM develops Simulcrypt Headend specification                        
UHD Security study CM-SEG UHD Security Study                                        
Harmonised Security Framework - update CM-SEG HSF Update finalised     CM Approves SB Approves                                  
Man in the Middle solutions CM-SEG CM Endorses solution SB Approves solution                                            
TM-MIS Solution produced                                              
Other Specifications Virtual Reality study mission CM-AVC CM study mission continues CM Approves recs SB Approves recs   VR Type B Workshop                              
Virtual Reality Type A (Smartphone-based) CM-AVC sub-group   CM Defines Virtual Reality Type A (Smartphone) Scope of Work CM Prepares Virtual Reality Type A (Smartphone) CRs CM Approves SB Approves             CM Endorses specification SB Approves Specification          
TM-AVC                   TM prepares TM develops VR Type A specification              
Virtual Reality Type B (PC/Console-based) CM-AVC sub-group                   CM Prepares Virtual Reality Type B (PC/Console) CRs CM Approves SB Approves               CM Endorses specification SB Approves Specification  
TM-AVC                             TM prepares TM develops VR Type B specification      
  Early Warning Solution (EWS) CM-EWS sub-group CM prepares EWS CRs CM Approves SB Approves CRs             CM Endorses specification SB Approves Specification          
  TM-T                   TM prepares TM develops Early Warning System specification              
  Targeted Advertising CM     CM study mission on Targeted Advertising CM Prepares CRs for Targeted Advertising CM Approves SB Approves                          
Other Work Website Metadata Section Re-Launch Project Office   Prepare infrastructure Author content, launch page                            
内容概要:本文系统介绍了算术优化算法(AOA)的基本原理、核心思想及Python实现方法,并通过图像分割的实际案例展示了其应用价值。AOA是一种基于种群的元启发式算法,其核心思想来源于四则运算,利用乘除运算进行全局勘探,加减运算进行局部开发,通过数学优化器加速函数(MOA)和数学优化概率(MOP)动态控制搜索过程,在全局探索与局部开发之间实现平衡。文章详细解析了算法的初始化、勘探与开发阶段的更新策略,并提供了完整的Python代码实现,结合Rastrigin函数进行测试验证。进一步地,以Flask框架搭建前后端分离系统,将AOA应用于图像分割任务,展示了其在实际工程中的可行性与高效性。最后,通过收敛速度、寻优精度等指标评估算法性能,并提出自适应参数调整、模型优化和并行计算等改进策略。; 适合人群:具备一定Python编程基础和优化算法基础知识的高校学生、科研人员及工程技术人员,尤其适合从事人工智能、图像处理、智能优化等领域的从业者;; 使用场景及目标:①理解元启发式算法的设计思想与实现机制;②掌握AOA在函数优化、图像分割等实际问题中的建模与求解方法;③学习如何将优化算法集成到Web系统中实现工程化应用;④为算法性能评估与改进提供实践参考; 阅读建议:建议读者结合代码逐行调试,深入理解算法流程中MOA与MOP的作用机制,尝试在不同测试函数上运行算法以观察性能差异,并可进一步扩展图像分割模块,引入更复杂的预处理或后处理技术以提升分割效果。
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