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A critical component of today's commercial search engines is an advertisement platform. The current state-of-the-art of such platforms is primarily based on advanced keyword matching to determine the relevance of advertisements for users' queries. However, such keyword matching techniques suffer from missing user intent when the query domain is visual as opposed to textual. To handle such a domain,...
In this demonstration, we present VisiAds, a vision-based online advertising platform which allows advertisers to bid on image content as opposed to text keywords. The demonstration shows an implementation of the platform designed specifically for mobile application scenarios. It can be used by advertisers to trigger and deliver multiple advertisements based on a query image captured from a consumer-grade...
This work introduces a novel data mining scheme, spatial pyramid mining, to discover association rules at multiple resolutions in order to identify frequent spatial configurations of local features that correspond to classes of logos appearing in real world scenes. By indexing representative examples by the mined rules we can efficiently detect a variety of different lettering or design marks associated...
In this paper, we presented an image search service for mobile users. It can be used to acquire related information by taking and sending pictures to the server, for example, getting book reviews by a photo of the cover. The key problem here is to find images that contain the same prominent object as that in the query image. In the literature, local feature based image matching has been proven to...
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