A fast image retrieval method based on SVM and imbalanced samples in filtering multimedia message spam
Zhang Chen, Zhenming Peng, Lingbing Peng, Dongyi Liao, Xin He · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2011
With the swift and violent development of the Multimedia Messaging Service (MMS), it becomes an urgent task to filter the Multimedia Message (MM) spam effectively in real-time. For the fact that most MMs contain images or videos, a method based on retrieving images is given in this paper for filtering MM spam. The detection method used in this paper is a combination of skin-color detection, texture detection, and face detection, and the classifier for this imbalanced problem is a very fast multi-classification combining Support vector machine (SVM) with unilateral binary decision tree. The experiments on 3 test sets show that the proposed method is effective, with the interception rate up to 60% and the average detection time for each image less than 1 second.