Creating and modifying an image wiki page

• US 8,875,007 B2
• Filed: 11/08/2010
• Issued: 10/28/2014
• Est. Priority Date: 11/08/2010
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Yang, Linjun, Tian, Qi
• Primary Examiner(s): Nguyen, Maikhanh
• Application Number:
  US12/941,739
• Publication Number:
  US 20120117449A1
• Time in Patent Office: 1,450 Days
• Field of Search: 715/200, 715/201, 715/202, 715/203, 715/204, 715/205, 715/207, 715/209, 715/210, 715/226, 715/231, 715/234, 715/256, 715/273, 715/700, 715/760, 707/602, 707/706, 707/723, 707/769, 707/772, 707/913, 707/915, 707/917
• US Class Current: 715/201
• CPC Class Codes: G06F 16/51 Indexing; Data structures therefor; Storage structures
• CPC Class Codes: G06F 16/532 Query formulation, e.g. graphical querying
• CPC Class Codes: G06F 16/972 Access to data in other repository systems, e.g. legacy data or dynamic Web page generation

Abstract

An ImageWiki architecture is used to generate an image-based web page for an image on the Web. An ImageWiki page may be created automatically or individually, by a user of the Web. Additionally, a user may revise existing ImageWiki pages to update a particular page or correct an incorrect or misleading previous entry. The ImageWiki application indexes images located on the Web. Once the images are indexed, the information related to the images is mined and extracted from various sources of web data. Finally, an ImageWiki page or web page is generated for each image. The resulting ImageWiki page contains the image as well as the aggregated information relating to the image.

Claims

1. A method comprising:

retrieving a plurality of images in response to a query;

receiving selection of an image from the plurality of images based at least in part on a ranking of the plurality of images in order of relevance to the query;

retrieving a plurality of textual information automatically from a plurality of web data related to the image, the textual information including at least one of text, metadata, or tags;

ranking the plurality of textual information based on relevance to the image;

extracting a subset of the plurality of textual information that is less than a whole of the plurality of textual information to create a plurality of selected information, wherein the extracting comprises selecting a first textual information of the plurality of textual information and not selecting a second textual information of the plurality of textual information, the selecting and not selecting being based at least on the ranking of individual textual information of the plurality of textual information;

and

generating a new web page containing the image and the extracted subset of the plurality of textual information automatically retrieved from the plurality of web data related to the image.

2. The method of claim 1, wherein the plurality of textual information comprises at least one of:

(i) an author, a title, a date, and a source of the image, or (ii) a textual story describing the image.

3. The method of claim 1, wherein the new web page comprises a plurality of different images that are related to the image.

4. The method of claim 1, wherein the new web page comprises a plurality of links to videos that are related to the image.

5. The method of claim 1, wherein the plurality of textual information further comprises a plurality of news events related to the image.

6. The method of claim 1, wherein the plurality of textual information comprises a plurality of links to a plurality of web pages that are related to the image.

7. The method of claim 1, wherein the new web page comprises a caption which provides additional background information on a subject of the image.

8. The method of claim 1, wherein the plurality of images is indexed to discover duplicates from the plurality of images to enable selection of an optimal image.

9. The method of claim 1, wherein the extracting the subset of the plurality of textual information from the plurality of web data uses a majority voting technique.

10. The method of claim 1, further comprising conducting a cross media recommendation analysis.

11. The method of claim 10, wherein the cross media recommendation analysis uses a textual representation of a video based at least in part on text associated with the video to provide the cross media recommendation for the image.

12. The method of claim 1, wherein the query is an image-based query that is submitted by selecting a region in an image that is a subject of the query.

13. The method of claim 1, wherein the plurality of web data comprises:

a plurality of image data, a plurality of web pages, a plurality of social tagging sites and a plurality of query logs.

14. The method of claim 1, wherein the new web page is generated automatically by a computer.

15. The method of claim 1, wherein the generating the new web page includes arranging the individual information of the plurality of selected information on the new web page in an order different from a source of the plurality of selected information.

16. A system comprising:

a memory;

one or more processors operatively coupled to the memory and disposed within one or more devices;

an application stored in the memory and executed by the one or more processors to access a plurality of web pages, wherein the application comprises;

a web image mining component to;

access web data from a plurality of sources based on a query;

rank a plurality of images from the web data in order of relevance to the query;

select an image from the plurality of images based at least in part on the ranking; and

aggregate a plurality of information from the web data to create a plurality of selected information that is related to the image and collected from at least a plurality of sources separate from a source that provided the image, wherein the aggregating comprises not selecting a subset of information collected from one of the plurality of sources separate from the source that provided the image; and

a page generation component to generate a new web page containing the image and the aggregated plurality of selected information.

17. The system of claim 16, wherein the web image mining component is further configured to conduct a cross media recommendation analysis that uses a textual representation of a video based at least in part on a plurality of tags surrounding the video to provide a recommendation for selection of a plurality of additional information to optimize the new web page to further optimize the aggregated plurality of selected information.

18. The system of claim 16, wherein the web data comprises at least one of:

a plurality of image data, a plurality of web pages, a plurality of social tagging sites and a plurality of query logs.

19. One or more computer storage media storing instructions that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

retrieving a plurality of images in response to a query;

ranking the plurality of images in an order based on relevance to the query;

selecting an image from the plurality of images based at least in part on the ranking;

retrieving a plurality of information from a plurality of data related to the image;

aggregating the plurality of information, wherein the aggregating comprises extracting a subset of the plurality of information based at least in part on relevance of the subset of the plurality of information to the image to create a plurality of selected information, wherein the relevance of the subset of the plurality of information to the image is determined at least in part by a ranking of a plurality of subsets of the plurality of information;

and

generating an electronic page comprising the image and the aggregated plurality of selected information retrieved automatically from the plurality of data, wherein the generating includes arranging individual information of the plurality of selected information in an order different from a source of the plurality of selected information.

20. The one or more computer storage media of claim 19, wherein the operations further comprise conducting a cross media recommendation analysis to further optimize the quality of the aggregated plurality of selected information, wherein the cross media recommendation provides a recommendation for selection of a plurality of additional information.