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Xiaofan Lin

Researcher at Hewlett-Packard

Publications -  102
Citations -  3602

Xiaofan Lin is an academic researcher from Hewlett-Packard. The author has contributed to research in topics: Optical character recognition & Object (computer science). The author has an hindex of 29, co-authored 101 publications receiving 3526 citations. Previous affiliations of Xiaofan Lin include Tsinghua University & Google.

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ICDAR 2003 robust reading competitions: entries, results, and future directions

TL;DR: This paper broke down the robust reading problem into three subproblems and run competitions for each stage, and also a competition for the best overall system, and described an algorithm for combining the outputs of the individual text locators and showed how the combination scheme improves on any of theindividual systems.
Patent

System and method for enabling image recognition and searching of images

TL;DR: In this article, the authors programmatically analyze each of a plurality of images in order to determine one or more visual characteristics about an item shown in each of the images, and then a search operation is performed to identify items that have a visual characteristic that satisfies at least some of the search criteria.
Patent

System and method for search portions of objects in images and features thereof

TL;DR: In this paper, a user is enabled to specify one or more search criteria that includes image data, and a search result may be determined based on images in the collection that show a corresponding object that has a portion that satisfies a threshold.
Patent

System and method for enabling image recognition and searching of remote content on display

TL;DR: In this paper, the retrieved images are analyzed to determine information about an object shown in a corresponding image of the content on display, at least a portion of which is made selectable and associated with the determined information.
Patent

System and method for enabling image searching using manual enrichment, classification, and/or segmentation

TL;DR: In this article, an image analysis module is used to programmatically analyze individual images in a collection of images in order to determine information about each image in the collection, and a manual interface that is configured to interface with one or more human editors, and displays a plurality of panels concurrently.