The development trend of video big data is diversified and personalized. With the continuous advancement of technology, people's demand for video content is also constantly changing. From traditional TV programs to various forms such as short videos, live broadcasts, and VR, video content is no longer a single form of entertainment, but also involves various fields such as education, medical care, and business.
In order to meet the personalized needs of users, the analysis and mining technology of video big data is also constantly improving. Through the analysis of user behavior, interests, preferences and other data, we can provide users with more accurate video recommendations and services. At the same time, the application of video big data will also involve more fields, such as smart cities, smart homes, etc., so as to realize a more intelligent and convenient lifestyle.
The development trend of video big data can be summarized as follows:
1) Explosive growth of video data
The growth rate of video content is very fast, and the number of videos people watch every day has reached an astonishing number. This explosive growth of data means that the demand for video big data is also increasing.
2) Application of video recommendation technology
Based on user behavior and recommendation algorithms, corresponding video content can be recommended according to the user's viewing history and interests. The application of this technology can improve the user experience.
3) Application of video analysis technology
Through video analysis technology, video content can be analyzed and identified, including people, objects, scenes, etc. The application of this technology can improve video search and classification functions, and can also be applied in video surveillance, such as face detection, human Face recognition, vehicle recognition, object recognition, dangerous behavior recognition, etc. With the help of the AI computing power of the hardware, the real-time intelligent detection and analysis of the surveillance video is carried out, so as to realize the intelligent supervision of the surveillance site.
For example, TSINGSEE's AI intelligent analysis gateway (V1/V2/V3), embedded with a variety of AI deep learning algorithms, can support the detection and recognition capabilities of faces, human bodies, vehicles, objects, behaviors, etc., with the help of the video capabilities of the security monitoring EasyCVR platform, Capable of capturing, comparing, alarming, and distributing functions, among which, the V3 version has more than 20 kinds of AI intelligent detection algorithms, including face detection/recognition, people flow statistics, crowd density detection, vehicle detection/recognition, License plate recognition, smoke and fire recognition, area intrusion detection, hard hat/reflective clothing wearing recognition, behavior analysis, etc.
4) Application of video surveillance technology
Through video surveillance technology, real-time monitoring and early warning can be carried out on the flow of people and vehicles. The application of this technology can improve the safety and management efficiency of the city.
Take TSINGSEE Qingxi video security surveillance video convergence management platform EasyCVR as an example. The platform is based on the cloud-edge-end integrated architecture and has powerful data access, processing and distribution capabilities. Specifically, the platform can provide rich and flexible video capabilities, including : Live video, recording, playback, retrieval, cloud storage, alarm reporting, voice intercom, automatic video transcoding, electronic map, trajectory tracking, server cluster and platform cascading, etc., can also support flexible expansion, secondary development, and Integrate with third parties.
EasyCVR, a video aggregation service platform, can aggregate, integrate, and centrally manage various scattered video resources in a complex network environment. In scene applications, the video capabilities of the platform can be applied in fields and scenarios such as security monitoring, construction site supervision, factory safety production, transportation, campus security, community security, food hygiene and safety.
5) Application of video education technology
Through video education technology, rich educational resources and online learning platforms can be provided, and the application of this technology can improve the effect and coverage of education.
In addition, with the continuous promotion and popularization of 5G technology, the application of video big data will also be further expanded. 5G technology will provide a more efficient and stable network environment for video transmission, thereby better supporting the development of video big data. In short, the development of video big data will continue to promote the process of social digitization and intelligence, bringing people more convenient, efficient, and personalized services. In the future, more new technologies and applications will continue to emerge.