Research On Soccer Video Indexing Algorithm Based On Multiple Features

Multimedia information especially video is growing explosively with the fastdevelopment of Internet and multimedia technology. Because of the variety of imagefeatures, which could reach several hundred dimension, or even thousands of dimension,Storing and indexing the high-dimensional feature vectors come to be the keytechnologies of the content-based video retrieval. To resolve the problem of curse ofdimension, taking advantage of the characteristics of soccer video and design efficientindexing method has become a great challenge for all the researchers.The residual quantization mechanism, which combines the asymmetric distance, theresidual quantization and inverted indexing, is improved after analyzing the characteristicsof soccer video. For soccer video, SA-VLAD, BOC and shot type are selected fordescribing the information of images. The appropriate parameters of SA-VLAD, BOC arechosen through experiences. In order to deal with the problem that the raw residualquantization indexing mechanism can only deal with the single feature, the indexingalgorithm based on multiple features is proposed. The algorithm could speed up filteringcandidates. When ranking the candidate set, a new score formula is proposed, whichwould make use of the type of soccer video shoot fully.Experiments show that the multiple-features presentation and the indexing algorithmbased on multiple features could reach higher precious rate. However, there are still manythings to solve the problem that the index occupies much larger space. The combination ofsemantic layer features and indexing algorithm need further analysis.