Method and apparatus for adapting a context model at least partially based upon a context-related search criterion

Patent metadata

Field	Value
Publication number	US-9679257-B2
Application number	US-201013807726-A
Country	US
Kind code	B2
Filing date	Jul 1, 2010
Priority date	Jul 1, 2010
Publication date	Jun 13, 2017
Grant date	Jun 13, 2017

Abstract

A method, devices, computer program products and an internet service is disclosed for adapting a context model. In the method a media clip is received. Also sensor data captured at least partly when the media clip was captured is received. A context is derived using a context model based at least partly on the sensor data and an indication on the context is provided to a user by receiving a search query having at least one context-related search criterion, deriving a similarity between the context and the at least one context-related search criterion and causing at least a part of the media clip to be presented as a response to the search query. Feedback on the relevance of the context is received from the user. Based on the feedback, the context model may then be adapted.

First claim

The invention claimed is:

1. A method in an apparatus comprising:
receiving a media clip;
receiving sensor data captured at least partly in connection with a capture of the media clip;
deriving at least one context using a context model based at least partly on the sensor data;
causing an indication on the context to be provided to a user by receiving a search query having at least one search criterion that is relevant to the context, deriving a similarity between the context and the at least one search criterion and causing at least a part of the media clip to be presented with an indication on the context based on the derived similarity as a response to the search query;
receiving feedback on the relevance of the indication on the context of the presented media clip to the search query from the user; and
adapting the context model based on the feedback.

2. The method according to claim 1 additionally comprising deriving a first parameter value indicating a probability of the sensor data matching the context.

3. The method according to claim 2 comprising deriving a similarity between the context and the at least one context-related search criterion, wherein adapting the context model is additionally based on the similarity and the method additionally comprises adapting the first parameter value based on at least one of the feedback or the similarity.

4. The method according to claim 1 additionally comprising using the context model independently of the reception of the media clip for determining at least one of an activity context, an audio context, and a social context.

5. The method according to claim 1 , wherein said causing an indication on the context to be provided to the user comprises:
associating a set of keywords with the context; and
presenting the set of keywords to the user.

6. The method according to claim 5 , wherein said receiving feedback comprises receiving a selection of a keyword from the set of keywords by the user.

7. The method according to claim 1 , wherein said receiving feedback comprises receiving feedback on relevance of the media clip relative to the at least one context-related search criterion.

8. The method according to claim 1 , wherein the search query comprises an example including or accompanying a first context-related data item, and wherein deriving a similarity comprises deriving a similarity between the context and the first context-related data item.

9. The method according to claim 8 , wherein said receiving feedback comprises receiving feedback on relevance of the media clip relative to the first context-related data item.

10. An apparatus comprising:
at least one processor; and
and at least one memory including computer program code,
the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to
receive a media clip;
receive sensor data captured at least partly in connection with a capture of the media clip;
derive at least one context using a context model based at least partly on the sensor data;
cause an indication on the context to be provided to a user by receiving a search query having at least one search criterion that is relevant to the context, deriving a similarity between the context and the at least one search criterion and causing at least a part of the media clip to be presented with an indication on the context based on the derived similarity as a response to the search query;
receive feedback on the relevance of the indication on the context of the presented media clip to the search query from the user; and
adapt the context model based on the feedback.

11. The apparatus according to claim 10 , wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus at least to derive a first parameter value indicating a probability of the sensor data matching the context.

12. The apparatus according to claim 10 , wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus at least to use the context model independently of the reception of the media clip for determining at least one of an activity context, an audio context, and a social context.

13. The apparatus according to claim 10 , wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus at least to:
associate a set of keywords with the context; and
present the set of keywords to the user.

14. The apparatus according to claim 13 , wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus at least to receive a selection of a keyword from the set of keywords by the user.

15. The apparatus according to claim 10 , wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus at least to receive feedback on relevance of the media clip relative to the at least one context-related search criterion.

16. The apparatus according to claim 10 , wherein the at least one memory and the computer program code are further configured to, with the at least one processor, cause the apparatus at least to:
adapt the context model additionally based on the similarity; and
adapt the first parameter value based on at least one of the feedback or the similarity.

17. The apparatus according to claim 10 , wherein the search query comprises an example including or accompanying a first context-related data item, and wherein deriving a similarity comprises deriving a similarity between the context and the first context-related data item.

18. A computer program product comprising at least one computer-readable storage medium having computer-executable program code portions stored therein, the computer-executable program code portions comprising program code instructions for:
receiving a media clip;
receiving sensor data captured at least partly in connection with a capture of the media clip;
deriving at least one context using a context model based at least partly on the sensor data;
causing an indication on the context to be provided to a user by receiving a search query having at least one search criterion that is relevant to the context, deriving a similarity between the context and the at least one search criterion and causing at least a part of the media clip to be presented with an indication on the context based on the derived similarity as a response to the search query;
receiving feedback on the relevance of the indication on the context of the presented media clip to the search query from the user; and
adapting the context model based on the feedback.

Assignees

• Hannuksela Miska
• Eronen Antti
• Leppanen Jussi
• Nokia Technologies Oy

Inventors

• Hannuksela Miska
• Eronen Antti
• Leppanen Jussi

Classifications

• G06N99/005 Primary

  Physics · mapped topic

• G10L25/48

  specially adapted for particular use · CPC title

• G06F17/30265

  Physics · mapped topic

• G06F16/432 Primary

  Query formulation · CPC title

• G06N20/00

  Machine learning · CPC title