Intelligent visual systems and services(Continuation of Question 12/16)
Motivation
An intelligent visual system is a type of telecommunication system that enables a computing device to inspect, evaluate and identify still or moving images. A typical intelligent visual application is video surveillance. A video surveillance system is a telecommunication system which is used to remotely capture and present multimedia to the end user via networks with ensured quality, security and reliability, and to perform intelligent analysis tasks.
In the past decade, there has been significant development in security industry worldwide, and intelligent visual applications are becoming increasingly popular in both developed and developing countries. According to a research report, the typical application of intelligent visual services, visual surveillance, is expected to grow from 36.89 billion US dollars to 68.34 billion US dollars from 2018 to 2023, with a compound annual growth rate of 13.1%. The potential market is huge.
There is a growing need of interworking between intelligent visual systems for communications. Underlying technologies, such as cloud computing, cloud storage, edge computing, edge storage, artificial intelligence (AI), big data, and intelligent analysis are needed in addition to video acquisition, coding, transmission, distribution and storage. Intelligent visual systems have become a whole ecosystem, highly connected to smart city and safe city construction. Standards should be used to support the development of the industry, and meet the need of rapid development. In addition, new information technologies continue to emerge, and the intelligent visual platform should be open to and capable of continuous evolution. The scope of the intelligent visual standards should be expanded to align with the market and to promote their development.
A range of standardization-related and industry initiatives have commenced across the globe examining different aspects of intelligent visual system. There are various activities, including international exhibitions, and exploratory workshops. Open Network Video Interface Forum (ONVIF) was established in May 2008, aiming at providing and promoting standardized interfaces for effective interoperability of IP-based physical security products. By 2020, ONVIF has released two versions of core specifications, two data format specifications, six profiles and 22 service specifications. IEC TC 79 WG12 focuses on video surveillance system (VSS) to produce IEC standards for VSS and applications taking into account the system, component and equipment requirements, testing and integration. Other SDOs (such as ISO/IEC JTC1, 3GPP and ETSI) are also developing intelligent visual standards according to their scope.
ITU-T SG16 developed various Recommendations on intelligent visual systems, including ITU-T F.743 series, H.626 series and H.627 series. This Question was established to meet the strong standardization need from the industry and to accommodate the existing work within ITU-T, including the enhancement and maintenance of the Recommendations and development of the many ongoing work items.
The following major Recommendations, in force at the time of approval of this Question, fall under its responsibility: ITU-T F.743, F.743.1, F.743.2, F.743.3, F.743.7, F.743.8, H.626, H.626.1, H.626.2, H.626.3, H.626.4, H.626.5, H.627, H.627.1.
Study itemsStudy items to be considered include, but not limited to:
- scope and definition of intelligent visual systems and services;
- use cases and requirements for intelligent visual systems and services;
- state-of-the-art technologies for intelligent visual systems and services;
- architecture of intelligent visual systems and services;
- management and maintenance of intelligent visual systems and services;
- devices and terminals in intelligent visual systems;
- resource management in intelligent visual systems;
- data management for intelligent visual systems and services;
- video and image data acquisition, storing, sharing and applying in intelligent visual systems;
- big data and intelligent services for intelligent visual systems;
- interworking with other systems;
conformance and interoperability testing for intelligent visual systems;
video content analysis performance testing, grading and ranking;
- security and privacy aspects of intelligent visual systems;
- new trend and emerging services based on intelligent visual technologies;
- strategy and roadmap for intelligent visual standardization.
TasksTasks include, but are not limited to:
develop Recommendations on the definitions of terminologies, use cases, requirements, reference architecture, signalling, protocol, testing and evaluation for intelligent visual systems and services;
- develop Recommendations on intelligent visual architectures, e.g. mobile video perception system, intelligent visual system, point-to-point intelligent visual system, video cloud as a service intelligent visual system, and immersive intelligent visual systems;
develop Recommendations on intelligent visual system management and maintenance;
develop Recommendations on device and terminal in intelligent visual systems;
develop Recommendations on resource management in intelligent visual systems;
- develop Recommendations on data management for intelligent visual systems;
develop Recommendations on acquisition, storing, sharing and applying of video and image data in intelligent visual systems;
develop Recommendations on big data and intelligent services for intelligent visual systems;
develop Recommendations on interworking with other systems;
develop Recommendations or whitepapers on the application of video content analysis technology in different industries;
develop Recommendations on performance testing, grading and ranking of video content analysis;
develop Recommendations on conformance and interoperability tests for intelligent visual systems;
consider security and privacy aspects for intelligent visual systems;
identify new trend and emerging services based on intelligent visual technologies;
cooperate with other relevant SDOs;
maintain and update the roadmap of intelligent visual systems and services;
enhance and maintain ITU-T F.743 series, H.626 series and H.627 series Recommendations.
Other topics can also be studied as appropriate, based on contributions.
An up-to-date status of work under this Question is contained in the SG16 work programme (
https://www.itu.int/ITU-T/workprog/wp_search.aspx?sp=16&q=12/16).
RelationshipsRecommendationsE, F, G, H, I, Q, T, V, X, Y-series Recommendations under the responsibility of SG16
QuestionsQuestions 5/16, 6/16, 11/16, 13/16, 21/16, 24/16
Study Groups:
- ITU-T SG13 on cloud computing in intelligent visual system
- ITU-T SG12 and ITU-R SG6 on video quality assessment
- ITU-T SG17 on security of intelligent visual systems (Q6/17)
- ITU-T SG20 on interface with IoT systems and smart cities
Other bodiesThis Question will collaborate with following relevant entities:
- IEC TC79 on video surveillance system integration
- ISO/IEC JTC1 SC29 on content description
- ONVIF on device interoperability
- 3GPP on 5G intelligent visual application
- ETSI on intelligent analysis application