With the rapid development of multimedia and network technology, various types of videos, flashes, and videos have become the mainstream of information exchange. News video is a representative media type in all video forms, which reports news of politics, economics, military and entertainment accurate and timely. The news information is the major means by which people acquire useful information. News videos supply abundant information and the people want to watch the news which is related to their appetite. When an important event occurs, the audiences care about reporting of subsequent problems. For example, “The Eighteenth Congress of the Communist Party”, and “the most beautiful teacher Zhang Lili”, the related reporting is springing up from different media sources. But the valuable information is dispersed in every unnoticed place, and the people cannot detect and track some interesting news. Now most news content processing procedure is done by hand. Even some automatic method must be carried out with human behavior, as the automated news annotation prone to error. Human labor is time-consuming and the annotation results are subjective. So the news video annotation tasks call for an efficient and automatic machine method. The automated news video management system is needed by media market. Cross media association analysis based news video annotation technique is useful to accomplish the above task. The development of the technique laid a foundation for e-business, education, tour, intelligent transportation and national security. The main contributions of this thesis are listed as follows: Firstly, we present a novel approach to fuse multi-modal information to annotate the news video. As the news video speech recognition and optical character recognition are with low accuracy, the complementation of the above two recognition results is accomplished to annotate the news video. Further more, by name entity recognition, we can find the person names, events places and the key words of the news video contents. Experiments on the CCTV news set show that the new video annotation accuracy is superior to the other approaches. Secondly, we propose a novel method for news video annotation by leveraging the Web news information. Due to the limited information contained in the news video, we explore the Web news and find the corresponding news on the web that is most similar to the news video. By mining the relationship, we can annotate the news video ...
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