WhittleSearch: Interactive Image Search with Relative Attribute Feedback
نویسندگان
چکیده
منابع مشابه
Interactive Image Search with Attribute-based Guidance and Personalization
Interactive image search, where a user initiates a query with keywords and refines it via feedback, can be enhanced using attributes. To minimize the user’s effort, we propose to let the system guide a user’s attribute-based comparative feedback with “pivot” exemplars that most reduce the system’s uncertainty. Since humans vary in how they perceive the link between a named property and image co...
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A semi-automatic process, which support users in the task of annotating large image data sets, has been proposed recently. Images are clustered automatically according to similarity and are presented to the user as a sorted set. During the annotation process, partial annotations are used for further improvement of the clustering. This interactive annotation process has three important propertie...
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Image search reranking is an effective approach to refine the text-based image search result. Text-based image retrieval suffers from essential difficulties that are caused mainly by the incapability of the associated text to appropriately describe the image content. In this paper, reranking methods are suggested address this problem in scalable fashion. Based on the classifiers for all the pre...
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Structured data repositories, more commonly known as knowledge bases (KBs), play a central role in many important applications. For example: Google Maps1 is based on a KB of points of interest and their attributes and Google Scholar2 is built on top of a KB of scientists, their publications and collaborations. Since automatically constructed KBs often exhibit incorrect or missing information, l...
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ژورنال
عنوان ژورنال: International Journal of Computer Vision
سال: 2015
ISSN: 0920-5691,1573-1405
DOI: 10.1007/s11263-015-0814-0