A Survey of Various Image Retrieval and Re-ranking Methods to Search Web Images

Pattern Recognition and machine Intelligence

Web image search has becomes an important feature of multimedia in web search engine. It plays an important role to search images as per user need in daily life. Some image search query results are satisfactory and some are unsatisfactory. The web image search mostly depends on the surrounding text of the image. It is difficult to understand the user intention only by query keywords and this leads to irrelevant image search results. In this paper the methods developed by different researchers in the area of web image search are reviewed. These methods vary from textual information search to user feedback. Also some methods are based on the visual similarities between the images. To improve the result of web image search, strategies like keyword expansion, active re-ranking is also used. This paper focuses on the methods introduced by different authors for development in the area of web image search and re-ranking.

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