Abstract:     How to integrate with industry is the key to the development of artificial intelligence technology. In view of the future scenario of "everything is media", understanding the development trend, core technology clusters evolution, and international competition situation of intelligent media technology are vital to the development of the media industry and related industries, and the improvement of the country′s core competitiveness. Most of the existing researches on intelligent media technology focus on interpretation of concepts or qualitative case studies, but there is a lack of research on intelligent media technology from the perspective of patents and other scientific and technological literatures. Patent data is the most objective basis for measuring technology development trends.
    This paper searches patent data from 2008 to 2020 from Derwent patent database, and obtains 75,051 Derwent patent data as the basis for analysis. Three types of factors including keywords, Derwent class codes and subject areas have been adopted to recognize the clusters of intelligent media technology. From the dimensions of time series and technology cluster, the development of intelligent media technology is divided into four stages: steady development, rapid development, smooth development and swift development. Using co-word analysis of Derwent class codes, the co-occurrence relationships between different patents are established, and the co-word matrix is constructed. The co-word matrix is standardized by Jaccard similarity coefficient and then put into Ucinet, which is a social network analysis software. By social network analysis visualizing the standardized co-occurrence relationship, this paper identifies the main 10 technology clusters in four stages, such as "intelligent recording, storage and transmission system for multimedia content of video, voice and image", "intelligent media equipment materials, circuits and chip technology", "intelligent home equipment and its control technology", "high speed optical fiber network technology for media content transmission", "virtual reality related display, control technology", etc. From the number of patent applications of different companies and the countries they belong to, the international competition situation of intelligent media technology is analyzed. Samsung, Intel and Qualcomm are leading intelligent media technology companies in the world, while the United States, South Korea and China are leading countries. In China, ZTE, OPPO, and PING AN Technology are competitive companies in the global market. 
   Based on the above quantitative analysis, the intelligent strategy for media organizationsis put forward. Media organizations should seize the opportunity of rapid development to promote the integration of media business and intelligent technology, while intelligent technology enterprises should plan their research and development strategy according to the development trend of intelligent media technology cluster. Some policy recommendations for media industry intellectualization are put forward in the perspective of the development of virtual reality and other emerging technologies. Chinese government should promote the industry application of intelligent media technology through carrying out institutional reform and competition mechanism. National and industrial policies should support the research of key technologies according to the development direction of technology clusters, then to improve the international competitiveness of China′s intelligent media technology. Through patent measurement, this paper outlines the development trend of intelligent media technology, analyzes the evolution of intelligent media technology clusters, and compares the international competition situation. It provides a reference method system for the research on how to promote the industrialization of artificial intelligence technology.

Key words: intelligent media technology, technology cluster, patent measurement, co-occurrence analysis, social network analysis