Recognizing and Filtering Web Images Based on People's Existence

摘要

Judging whether a web image contains people is useful in both pornographic image recognition and image filtering when searching for images of people. We proposed an approximate but rapid method to solve this problem. For a web image, three types of probabilities are calculated from the image itself, the image’s associated texts and the title of the web page it located, respectively. Then a final probability representing the people’s existence is achieved by fusion of the three probabilistic values. Based on the probability of people’s existence, we proposed a two-layer framework for pornographic image recognition and a solution of image retrieval respectively. In the experiments conducted, our proposed framework and solution demonstrate good  performances in the image recognition and filtering respectively.