Apparatus, methods, and computer program products for adaptive multimedia content indexing

Patent metadata

Field	Value
Publication number	US-9292552-B2
Application number	US-201213688566-A
Country	US
Kind code	B2
Filing date	Nov 29, 2012
Priority date	Jul 26, 2012
Publication date	Mar 22, 2016
Grant date	Mar 22, 2016

Abstract

This disclosure provides, among other things, a method for adaptive indexing of multimedia content. In some embodiments, the method includes: identifying a keyword associated with a feature found in a data portion of a multimedia item, the keyword being associated with a media type, and the media type being associated with a weight; determining a relevance for the keyword using the weight associated with the media type associated with the keyword; updating the weight associated with the media type based on a particular set of content items, wherein each content item included in the particular set was added to the particular set of content items because the content item was selected by a user from a set of content items that were identified to the user in response to a query from the user, thereby producing an updated weight; and updating the relevance of the keyword using the updated weight.

First claim

The invention claimed is:

1. A method for adaptive indexing of multimedia content, the method comprising:
identifying a keyword associated with a first feature and a second feature found in a data portion of a multimedia item, the first feature being of a first media type and the second feature being of a second media type, and the first media type being associated with a first weight, and the second media type being associated with a second weight;
determining a relevance for the keyword by calculating a relevance value using said first weight and said second weight;
updating the first weight associated with the first media type based on a search result selected by a user from a set of search results that were identified to the user in response to a query from the user to produce an updated first weight, wherein the selected search result indicates a multimedia item having a feature being of the first media type and another feature being of the second media type, each of the features being associated with the keyword;
updating the second weight based on a particular set of content items being identified by the selected search result to produce an updated second weight; and
updating the relevance of the keyword by calculating a relevance value using the updated first weight and the updated second weight.

2. The method of claim 1 , wherein the first media type is one of image, sound, voice, and text.

3. The method of claim 1 , wherein the first weight associated with the first media type is associated with a specific set of one or more users or devices and not with any other set of users or devices.

4. The method of claim 1 , wherein the method further comprises prior to updating the first weight, determining a number of content items that have been selected by one or more users in response to one or more queries by the one or more users; and the step of updating the first weight occurs in response to a determination that the determined number meets or exceeds a predetermined threshold.

5. The method of claim 1 , further comprising: transmitting, from a server to a client device in response to receiving from the client device a query comprising a query keyword, a search result identifying a set of content items that match the query; identifying a content item selected by a user of the client device from the set of items; determining whether data associated with the selected content item indicates that the content item contains a feature that is (i) mapped to the keyword and (ii) of the same media type as the least one first media type; in response to determining that the data associated with the selected content item indicates that the content item contains a feature that is (i) mapped to the keyword and (ii) of the same media type as the least one first media type, updating a counter, wherein the step of updating the first weight comprises updating the first weight using the counter.

6. The method of claim 1 , wherein the step of updating the first weight comprises updating the first weight based on a distribution of determined feature types across N queries, where N>1.

7. The method of claim 6 , wherein the updated weight is based on a ratio among current weights and a ratio among the distribution of determined feature types across the N queries.

8. The method of claim 6 , wherein the updated weight is based on a weighted average of a ratio among current weights and a ratio among the distribution of determined feature types across the N queries.

9. The method of claim 1 , wherein the multimedia item is a web page comprising a first file and a second file, wherein the first file is an HTML document and the second file is one of an image file and a video file, the first feature with which the keyword is associated was found in a data portion of the first file, and the second feature with which the keyword is associated was found in a data portion of the second file.

10. An apparatus for adaptive indexing of multimedia content, the comprising:
a data storage system; and
a data processing system coupled to the data storage system, the data processing system being configured to:
identify a keyword associated with a first feature and a second feature found in a data portion of a multimedia item, the first feature being of a first media type and the second feature being of a second media type, and the first media type being associated with a first weight, and the second media type being associated with a second weight;
determine a relevance for the keyword by calculating a relevance value using the first weight and the second weight;
update the first weight associated with the first media type based on a search result selected by a user from a set of search results that were identified to the user in response to a query from the user to produce an updated first weight, wherein the selected search result indicates a multimedia item having a feature being of the first media type and another feature being of the second media type, each the features being associated with the keyword;
updating the second weight based on a particular set of content items being identified by the selected search result to produce an updated second weight; and
update the relevance of the keyword by calculating a relevance value using the updated first weight and the updated second weight.

11. The apparatus of claim 10 , wherein the first media type is one of image, sound, voice, and text.

12. The apparatus of claim 10 , wherein the first weight associated with the first media type is associated with a specific set of one or more users or devices and not with any other set of users or devices.

13. The apparatus of claim 10 , wherein the apparatus is further configured to determine a number of content items that have been selected by one or more users in response to one or more queries by the one or more users prior to updating the first weight, and the apparatus is configured such that the apparatus updates the first weight in response to a determination that the determined number meets or exceeds a predetermined threshold.

14. The apparatus of claim 10 , wherein the apparatus is further configured to: transmit, in response to receiving from the client device a query comprising a query keyword, a search result identifying a set of content items that match the query; identify a content item selected by a user of the client device from the set of items; determine whether data associated with the selected content item indicates that the content item contains a feature that is (i) mapped to the keyword and (ii) of the same media type as the first media type; update a counter in response to determining that the data associated with the selected content item indicates that the content item contains a feature that is (i) mapped to the keyword and (ii) of the same media type as the first media type; and update the first weight using the counter.

15. The apparatus of claim 10 , wherein the apparatus is configured to update the first weight based on a distribution of determined feature types across N queries, where N>1.

16. The apparatus of claim 15 , wherein the updated weight is based on a ratio among current weights and a ratio among the distribution of determined feature types across the N queries.

17. The apparatus of claim 15 , wherein the updated weight is based on a weighted average of a ratio among current weights and a ratio among the distribution of determined feature types across the N queries.

18. The apparatus of claim 10 , wherein the multimedia item is a web page comprising a first file

Assignees

• Ericsson Telefon Ab L M

Inventors

• Arngren Tommy
• Kamal Arif

Classifications

• G06F17/30029

  Physics · mapped topic

• G06F17/30017

  Physics · mapped topic

• G06F17/30787

  Physics · mapped topic

• G06F17/30321 Primary

  Physics · mapped topic

• G06F17/3002

  Physics · mapped topic