CONCEPT RETRIEVAL BASED ON A COMBINATION OF FRACTAL CODING, FUZZY RULE BASED SYSTEM AND SVM
Ehsan Lotfi, Mahdi Yaghoobi · Fractals · 2011
Most information retrieval systems make indirect use of human knowledge in their retrieval process. The new method we present here aims to efficiently use human knowledge directly in combination with fractal coding and support vector machine (SVM) for clustering. As illustrated in this paper, this approach is particularly applicable to soccer concept retrieval from video databases. The first phase consists of extracting suitable features and key frames from video shots. Then, using a fractal coding, soccer shots are retrieved, and using a fuzzy rule base containing the experiences of experts, shots that do not include significant soccer events are removed. Finally, the last phase uses SVM to classify results coming from the fuzzy system. The results of the classification phase are accompanied by a textual description and enables retrieval through text based query. Experimental results show proper classification and satisfying retrieval process.