Expression recognition tag
AssigneeIntel Corporation
InventorsAishwarya Venkataraman, Vishal Thomas
Life of this patent
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Abstract
An apparatus for tagging content with expression recognition information is disclosed herein. The apparatus can include an input collector to receive raw expression data at a data storage device, the raw expression data to correspond to a media event. The apparatus can include an expression recognition generator to create an expression tag by coding the received raw expression data to follow an expression action coding system. The apparatus can include a content modifier to modify a deliverable content instance for the media event to include the expression tag.
Claims24
An apparatus for tagging content with expression recognition information, comprising:
- an input collector to receive raw expression data at a data storage device, the raw expression data to correspond to a media event;
- an expression recognition generator to create an expression tag for a section of the media event by coding the raw expression data to follow an expression action coding system, the expression action coding system to vary the expression tag created based on a world region detected from the raw expression data wherein the expression action coding system is a facial action coding system to identify a face in the raw expression data and through comparison of periodically received raw expression data determines changes in a facial feature for use in determining an expression type, wherein the expression tag comprises the expression type;
- and the generation of the expression tag is based on at least one of voice recognition, pitch detection, or intensity detection;
- and a content modifier to generate a deliverable content instance for the media event and add the expression tag to the deliverable content instance.
A method for tagging content with expression recognition information, comprising:
- receiving raw expression data at a data storage device, the raw expression data to correspond to a media event;
- creating, with an expression recognition generator, an expression tag for a section of the media event by coding the raw expression data to follow an expression action coding system, the expression action coding system to vary the expression tag created based on a world region detected from the raw expression data wherein the expression action coding system is a facial action coding system to identify a face in the raw expression data and through comparison of periodically received raw expression data determines changes in a facial feature for use in determining an expression type, wherein the expression tag comprises the expression type;
- the generation of the expression tag is based on at least one of voice recognition, pitch detection, or intensity detection;
- and modify a deliverable content instance for the media event by adding the expression tag to the deliverable content instance.
A system for tagging content with expression recognition information, comprising:
- a display to show a media event;
- an input collector to receive raw expression data at a data storage device, the raw expression data to correspond to the media event;
- an expression recognition generator to create an expression tag for a section of the media event by coding the raw expression data to follow an expression action coding system, the expression action coding system to vary the expression tag created based on a world region detected from the raw expression data wherein the expression action coding system is a facial action coding system to identify a face in the raw expression data and through comparison of periodically received raw expression data determines changes in a facial feature for use in determining an expression type, wherein the expression tag comprises the expression type;
- the generation of the expression tag is based on at least one of voice recognition, pitch detection, or intensity detection;
- and a content modifier to generate a deliverable content instance for the media event and add the expression tag to the deliverable content instance.
Dependencies are inferred from the claim text.