期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：4
页码：647-652
语种：English
出版社：Ayushmaan Technologies
摘要：Image search has become a popular feature in many search engines, including Yahoo!, MSN, Google, etc., majority of which use very little, if any, image information. The explosive growth and widespread accessibility of community-contributed media content on the Internet has led to a surge of research activity in visual search. However, it remains uncertain whether such techniques will generalize to a large number of popular Web queries and whether the potential improvement to search quality guarantees additional computational cost. Due to the success of text-based search of Web pages and in part, to the difficulty and expense of using image-based signals, most search engines return images solely based on the text of the pages from which the images are linked. No image analysis takes place to determine relevance/ quality. This can yield results of inconsistent quality. So, such kind of visual search approach has proven unsatisfying as it often entirely ignores the visual content itself as a ranking signal. To address this issue, visual re-ranking, defined as reordering of visual images based on their visual appearance can be used. The major advantages of this approach is that, it requires little human intervention and improves the search performance.
