Name
Abstract | ||
|---|---|---|
The development of the Web has been paralleled by the proliferation of a harmful content on its pages. Using Violent Web images as a case study, we tend to present a novel approach to their classification. This subject is of high importance as it has a potential use in many applications such as violent Web sites filtering. We, therefore, focus our attention on the extraction of contextual image features from the Web page. Also, we present a comparative study of different data mining techniques to classify violent Web images. The results we achieved show that our approach can detect violent content effectively. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1145/1774088.1774464 | SAC |
Keywords | Field | DocType |
novel approach,comparative study,contextual image feature,harmful content,violent web site,violent web image,different data mining technique,case study,web page,violent content,image classification,image features,data mining,web pages | Information retrieval,Context based,Feature (computer vision),Computer science,Image retrieval,Filter (signal processing),Web query classification | Conference |
Citations | PageRank | References |
1 | 0.36 | 11 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Radhouane Guermazi | 1 | 23 | 5.55 |
| Mohamed Hammami | 2 | 181 | 30.54 |
| Abdelmajid Ben Hamadou | 3 | 353 | 56.16 |