System and methods of integrating visual features with textual features for image searching
First Claim
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1. A system for image searching in a vertical content area to generate a ranked image search list, comprising:
- a memory;
a display;
a processor connected to the memory and the display; and
a data input device for receiving an input of a text query into the memory;
the processor processing the text query by;
collecting a set of information based on the text query, the set of information including one or more images and one or more text terms;
analyzing the one or more images of the set for one or more visual features;
determining one or more text features of the one or more text terms of the set;
obtaining keywords using the one or more visual features and the one or more text features;
assigning to each keyword a weight vector, the weight vector representing a visual perception of the one or more visual features and the one or more text features;
using the weight vector of each keyword to rank each visual feature of the one or more visual features and the one or more text features to obtain a ranked list of items, wherein a higher weight is given to a feature when the keyword is used as a text query; and
displaying the ranked list of items on the display.
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Abstract
The present invention includes a system and methods for image searching. Embodiments of the system integrate textual features and visual features for improved search performance. The system represents text terms in the visual feature space and develops a text-guided weighting scheme for visual features. The weighting scheme infers intention from query terms and enhances the visual features that are significant in light of such intention.
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20 Claims
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1. A system for image searching in a vertical content area to generate a ranked image search list, comprising:
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a memory; a display; a processor connected to the memory and the display; and a data input device for receiving an input of a text query into the memory; the processor processing the text query by; collecting a set of information based on the text query, the set of information including one or more images and one or more text terms; analyzing the one or more images of the set for one or more visual features; determining one or more text features of the one or more text terms of the set; obtaining keywords using the one or more visual features and the one or more text features; assigning to each keyword a weight vector, the weight vector representing a visual perception of the one or more visual features and the one or more text features; using the weight vector of each keyword to rank each visual feature of the one or more visual features and the one or more text features to obtain a ranked list of items, wherein a higher weight is given to a feature when the keyword is used as a text query; and displaying the ranked list of items on the display. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A computer for image searching, the computer method comprising the steps of:
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receiving by a processor a text query input using a data input device; collecting by the processor set of information including one or more web pages, wherein each web page includes an image and a text term; analyzing by an image processor the image to ascertain at least one visual feature including a shape, a color, or a texture of the image; assessing by a parser the text term to obtain at least one text feature; obtaining keywords using the at least one visual feature and the at least one text feature; calculating by the processor a weight vector for each keyword, the weight vector representing a visual perception of the at least one visual feature and the at least one text feature; ranking by the processor the at least one visual feature and the at least one text feature using the weight vector to obtain ranked items; and displaying on a user interface the ranked items. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification