Identifying particular images from a collection
A method of identifying one or more particular images from an image collection, includes indexing the image collection to provide image descriptors for each image in the image collection such that each image is described by one or more of the image descriptors; receiving a query from a user specifying at least one keyword for an image search; and using the keyword(s) to search a second collection of tagged images to identify co-occurrence keywords. The method further includes using the identified co-occurrence keywords to provide an expanded list of keywords; using the expanded list of keywords to search the image descriptors to identify a set of candidate images satisfying the keywords; grouping the set of candidate images according to at least one of the image descriptors, and selecting one or more representative images from each grouping; and displaying the representative images to the user.
1. A method of identifying one or more particular images from an image collection, comprising using a data processing system for:
(a) indexing the image collection to provide image descriptors for each image in the image collection such that each image is described by a plurality of image descriptors, with or without user input;
(b) receiving a query from a user specifying at least one keyword for an image search, wherein the at least one keyword is not an image descriptor;
(c) using the keyword(s) to search a second collection of tagged images to identify keywords that are co-occurent with the user-provided keyword(s);
(d) using the identified co-occurrence keywords to provide an expanded list of keywords;
(e) using the expanded list of keywords to search the image descriptors to identify a set of candidate images satisfying the keywords;
(f) grouping the set of candidate images according to at least one of the image descriptors, and selecting one or more representative images from each grouping; and
(g) displaying the representative images to the user.
2. The method of claim 1 wherein one or more of the image descriptors includes using geographic location information to identify place names and geographic feature types.
3. The method of claim 1 wherein one or more of the image descriptors includes using prominent colors represented in the image.
4. The method of claim 1 wherein one or more of the image descriptors includes using prominent scene types represented in the image.
5. The method of claim 1 wherein one or more of the image descriptors includes using prominent material or texture types represented in the image.
6. The method of claim 1 wherein one or more of the image descriptors includes using temporal information based on image capture date.
7. The method of claim 1 wherein one or more of the image descriptors includes using camera capture conditions.
8. The method of claim 1 wherein one or more of the image descriptors includes using classes of people represented in the image.
9. The method of claim 1 wherein one or more of the image descriptors includes using the type of event to which the image belongs.
10. The method of claim 1 , wherein the grouping in step (e) is determined by temporal information, geospatial information, people information, or visual similarity.
11. The method of claim 1 , wherein the expansion of a set of keywords in step (d) is determined in part by consideration of which indexers might generate each keyword.
12. The method of claim 1 , wherein the identification of co-occurrent keywords from a second collection of tagged images in step (c) selects which collection of tagged images to use from a set of candidate collections.
13. The method of claim 12 , wherein the collection selection is dependent upon a user characteristic such as language, age, or geographic region.