Volume 6 Issue 4 - March 2016

  • 1. Survey paper on web image re-ranking with relevance preservation

    Authors : Pallavee Patil, Amol Rajmane

    Pages : 527-530

    Keywords : text queryre-ranking relevance

    Abstract :

    Text based search techniques for image retrieval has achieved limited success because such a techniques generally ignores the visual contents of image. Image search re-ranking reorders the initial text only search to improve the result and this has received increasing attention in the recent years. But these techniques faces problems as initial search results contains noticeable amount of noise which makes re-ranking process difficult. The purpose of this paper is to classify the methods used for re-ranking process and we also discuss promising technique designed for image re-ranking which preserves the relevance in result.

    Citing this Journal Article :

    Pallavee Patil, Amol Rajmane, "Survey paper on web image re-ranking with relevance preservation ", https://www.ijltet.org/journal_details.php?id=899&j_id=2999, Volume 6 Issue 4 - March 2016, 527-530, #ijltetorg