METHOD AND APPARATUS FOR CLASSIFYING A CONTENT ITEM

• US 20100250537A1
• Filed: 11/12/2007
• Published: 09/30/2010
• Est. Priority Date: 11/14/2006
• Status: Abandoned Application

• Current Assignee: Koninklijke Philips N.V.
• Original Assignee: Koninklijke Philips Electronics N.V. (Koninklijke Philips N.V.)
• Inventors: Van De Par, Steven Leonardus Josephus Dimphina Elisabeth
• Application Number:
  US12/514,154
• Publication Number:
  US 20100250537A1
• Time in Patent Office: Days
• US Class Current: 707/737
• CPC Class Codes: G06F 16/355 Class or cluster creation or modification
• CPC Class Codes: G06F 16/68 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/683 using metadata automatically derived from the content
• CPC Class Codes: G06F 16/7867 using information manually generated, e.g. tags, keywords, comments, title and artist information, manually generated time, location and usage information, user ratings
• CPC Class Codes: G06F 16/93 Document management systems

Abstract

Newly created personal classes can be incorporated into classification of a content item, step 201. A first set of content item are manually classified, step 203 to define the newly created personal class such that the class can be incorporated for automatically classifying further content items.

Claims

1. A method of classifying a content item into at least one of a plurality of classes, said plurality of classes comprising at least one pre-defined class and at least one personal class, the method comprising the steps of:

manually classifying a first set of content items into said at least one personal class;

defining said personal class on the basis of the manual classification of the first set of content items; and

automatically classifying further content items into at least one of said plurality of classes, said plurality of classes including said defined personal class.

2. A method according to claim 1, wherein the step of automatically classifying further content items into at least one of said plurality of classes includes the steps of:

extracting at least one feature of a content item;

classifying said content item on the basis of the value of said extracted at least one feature.

3. A method according to claim 2, wherein the step of defining said personal class includes:

defining said personal class initially on the basis of said at least one predefined class.

4. A method according to claim 3, wherein the step of defining said personal class initially further includes:

establishing relationships between at least one extracted feature of said pre-defined class and at least one extracted feature of said personal class;

weighting said relationships to provide a best match between said at least one extracted feature of said pre-defined class and at least one extracted feature of said personal class.

5. A method according to claim 1, wherein the step of defining said personal class comprising the step of:

redefining said personal class on the basis of user'"'"'s feedback.

6. A computer program product comprising a plurality of program code portions for carrying out the method according to claim 1.

7. Apparatus for classifying a content item into at least one of a plurality of classes, said plurality of classes comprising at least one pre-defined class and at least one personal class, the apparatus comprising the steps of:

means for manually classifying a first set of content items into said at least one personal class;

means for defining said personal class on the basis of the manual classification of the first set of content items; and

means for automatically classifying further content items into at least one of said plurality of classes, said plurality of classes including said defined personal class.