Patent Document ID: 9875303
Application ID: 14753140

Base Claim:
1. A method for labeling clusters of visual objects, comprising: using at least one processor for executing the following: code instructions for identifying a plurality of records each comprising at least one object image associated with at least one textual field; code instructions for applying a visual analysis of a visual similarity between respective said object images of said plurality of records to yield a plurality of sub clusters; code instructions for uniting said plurality of sub clusters into a plurality of clusters according to text similarity between said object images by applying a text similarity function on each said at least one textual field; code instructions for labeling each cluster of the plurality of clusters with a label reflecting a common semantic factor of respective said textual fields of members in each cluster; code instructions for displaying a catalog wherein the label of each cluster of the plurality of clusters is presented in association with the representative image thereof, the catalog is displayed as part of a user interface at a user terminal; wherein the visual similarity provides a measure of resemblances between two visual objects based on local descriptors in the visual objects.

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Claim 11:
11. The method according to claim 1 , further comprising using said at least one processor for executing the following: code instructions filtering out copyrighted records, wherein a copyrighted object image of a copyrighted record exhibits a visual similarity above a specified level with an object image ranked above a specified level of relevance retrieved by an image search engine applied to at least one textual field associated with the object image.