Novel Search Engine: Combination of Link and Popularity Rank for Multimedia Retrieval

In contrast with the current search engines that essentially do page-level ranking and searching, we are exploring a new paradigm to enable Web search at image level by introducing a new concept of Popularity-based Rank (PR). This paper introduces PR, a content-level ranking and searching model for multimedia retrieval. Specifically, we establish a PR Operation which is combined with new link structure analysis. The strategy to decide searching order by taking similarity into consideration is also proposed and proved to be effective and efficient. Experimental results show that the combined analysis can achieve significantly better ranking results than naively applying PageRank on the image model.