Object representation method based on multi-task feature learning

Abstract

The invention discloses an object representation method based on multi-task feature learning. According to the method, the features are extracted at a terminal by adopting a deep neural network, so that the data volume of transmitted videos is reduced, the transmission speed is increased, and the occupied storage space is reduced; the computer analyzes and recovers the object at the cloud end, sothat the investment of labor cost is reduced, and meanwhile, the event processing efficiency is improved; and the effect of simultaneous implementation and joint optimization of a plurality of tasks can be achieved. According to the invention, an artificial intelligence neural network method is adopted, feature extraction is carried out on an original video image, the transmission data volume is reduced, intelligent analysis is realized through feature calculation, image restoration is realized by using a transposed convolution technology, the event processing speed is greatly improved, and funds are saved.

Description

technical field [0001] The invention relates to the fields of computer graphics and multimedia, and in particular to the transmission and analysis of video objects under big data. Background technique [0002] In recent years, with the rapid development of my country's economy, urban public safety construction has become particularly important. Video surveillance cameras have been deployed on a large scale across the country, and their scale is still growing rapidly. Smart security inspection has become an important aspect of public safety prevention. means. According to statistics, my country's "safe city" construction project has built the world's largest five-level security monitoring network covering my country's main streets, districts, cities, provinces and the central government in more than 660 cities across the country. [0003] Nevertheless, when major densely populated cities in my country are facing increasingly severe major criminal crimes, public safety hazards...

AI Technical Summary

Problems solved by technology

[0003] Nevertheless, when major densely populated cities in my country are facing increasingly serious major criminal crimes, public safety hazards, or complex civil disputes, due to the huge amount of video data, various types of data, and low value density, it is difficult to deal with incidents. Serious problems such as too slow speed, it is difficult to meet the needs of real-time alarm and quick response of public security

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