Adaptive Visual Similarity for Text-Based Image Search Results Re-ranking
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United States of America Patent
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Issued Date -
Dec 17, 2009
app pub date -
Jun 16, 2008
filing date -
Jun 16, 2008
priority date (Note) -
Abandoned
status (Latency Note)
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Abstract
Described is a technology in which images initially ranked by some relevance estimate (e.g., according to text-based similarities) are re-ranked according to visual similarity with a user-selected image. A user-selected image is received and classified into an intention class, such as a scenery class, portrait class, and so forth. The intention class is used to determine how visual features of other images compare with visual features of the user-selected image. For example, the comparing operation may use different feature weighting depending on which intention class was determined for the user-selected image. The other images are re-ranked based upon their computed similarity to the user-selected image, and returned as query results. Retuning of the feature weights using actual user-provided relevance feedback is also described.
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Cited Art Landscape
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