Multiview Rank Learning for Multimedia Known Item Search

Abstract

Known Item Search (KIS) is a specialized task of the general multimedia search problem. KIS describes the scenario where a user has seen a video before, must formulate a text description based on what he remembers, and knows that there is only one correct answer. The KIS task takes as input a text-only description and returns the ranked list of videos most likely to match the known item.