Design And Implementation Of Audio And Video Production Decision-making Platform Based On Model Portrait

With the development and maturity of smart phones and Internet technologies,the short video industry has become more and more influential.Scanning short videos has become an indispensable entertainment activity in people's daily lives.Many users regard short videos as a new kind of social interaction.the way.Facing the huge short video user group,optimizing the user experience of short video software and increasing user stickiness is an important direction to enhance the competitiveness of short video software.This paper designs and implements an audio and video production decision-making platform based on model portraits.It aims to automatically generate model portrait data and combine the portrait data to make strategic decisions,and then optimize the operation configuration of each audio and video production function,so that every terminal device can While ensuring smooth operation,contribute richer and more powerful video production functions as much as possible to optimize user experience.The audio and video production decision-making platform designed and implemented in this paper is divided into three parts: mobile SDK,data warehousing and server.The mobile terminal SDK is responsible for flexibly and efficiently detecting the various capabilities related to audio and video processing of the equipment,calculating various capability data according to the scoring rules and reporting them to the data warehousing terminal.The data warehousing terminal is based on the model data and the equipment model As a unit,a multi-dimensional,multi-scenario model portrait is constructed through labeling.The server combines model portrait data and online strategy configuration to make strategic decisions,and sends the decision results to the terminal device to optimize the production experience of the audio and video.This article first analyzes the product characteristics and user characteristics,and on this basis,carries out a demand analysis of the system.Then,it outlines the design of the system,and divides the system into capability detection module,data collection module,configuration module,download module,portrait generation module,data consumption module and strategy center module,and analyzed the overall technology implementation architecture and client technology implementation architecture.Then,it elaborated the detailed design and implementation of the capability detection module,data collection module,configuration module,download module and strategy center module.Finally,the system is tested,and the test results show that the system has met the functional requirements.At present,this project has been put into use online,providing functional experience optimization for many business scenarios such as shooting,editing,and beautification of multiple audio and video products,and has achieved good results.The system is still continuously updated and iterated to continuously optimize and expand based on feedback,and strive to obtain higher returns.