Abstract
In this paper, we proposed a fast Web community extraction method based on Web video features using Locality Sensitive Hashing. First, the proposed method applies Locality Sensitive Hashing to the low level Web video features such as visual, audio, and textual features, and enables fast calculation of similarity between Web pages containing Web videos. Furthermore, on the basis of the obtained similarities and hyperlinks between Web videos, Web communities containing similar Web videos are extracted. Therefore, the proposed method enables fast Web community extraction, and we can apply the proposed method to huge dataset.
