IDENTIFYING AND GENERATING COLOR AND TEXTURE VIDEO COHORTS BASED ON VIDEO INPUT

• US 20140056483A1
• Filed: 10/30/2013
• Published: 02/27/2014
• Est. Priority Date: 12/11/2008
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: ANGELL, ROBERT L., FRIEDLANDER, ROBERT R., KRAEMER, JAMES R., BORGER, SERGIO, PATNAIK, YASHODHARA M.
• Granted Patent: US 8,754,901 B2
• Time in Patent Office: Days
• US Class Current: 382/111
• CPC Class Codes: G06V 10/56 relating to colour
• CPC Class Codes: G06V 10/60 relating to illumination properties, e.g. using a reflectance or lighting model

Abstract

A computer system generates video based cohorts. Digital video data is processed to identify a set of color and texture based attributes associated with clothing worn by a set of objects. The digital video data comprises metadata describing the set of objects. The set of color and texture based attributes are analyzed using cohort criteria to form a result. The cohort criteria specify attributes that are associated with members of a given cohort. A set of cohorts is generated based on the result. Each cohort in the set of cohorts comprises a subset of objects from the set of objects that share at least one color and texture based attribute in common.

Claims

1. A computer system comprising:

a central processing unit (CPU), a computer readable memory, and a computer readable storage media;

first program instructions to process digital video data to identify a set of color attributes and texture based attributes associated with clothing worn by a set of objects, wherein the set of objects are persons wearing an item of clothing manufactured by a specific manufacturer, wherein the digital video data comprises metadata describing the set of objects, wherein the texture based attributes describe whether the item of clothing is smooth or rough, wherein the item of clothing is a particular color, and wherein the digital video data comprises video images of the set of objects that are captured by a plurality of cameras;

second program instructions to adjust colors of the video images by identifying light sources that illuminate the set of objects and shadows that fall on the set of objects, wherein the light sources and the shadows have been predetermined to alter true colors of a corporate logo that is affixed to the item of clothing, wherein said adjusting colors returns an image of the corporate logo to its true colors, and wherein the corporate logo identifies the specific manufacturer of the item of clothing being worn by the persons whose images are captured by the plurality of cameras;

third program instructions to analyze the set of color and texture based attributes using cohort criteria to identify the item of clothing and the corporate logo captured by the plurality of cameras;

fourth program instructions to generate and store a set of video based cohorts, wherein each cohort in the set of video based cohorts comprises a subset of objects, from the set of objects, that share at least one color and texture based attribute; and

fifth program instructions to predict whether the item of clothing being worn by the persons viewed by the plurality of cameras and by persons from a cohort from the set of video based cohorts, will increase in popularity in a particular geographic region based on how many persons of a predetermined age group are viewed, by the plurality of cameras, while wearing a copy of the item of clothing, and wherein

the first, second, third, fourth, and fifth program instructions are stored on the computer readable storage media for execution by the CPU via the computer readable memory.

2. The computer system of claim 1, wherein the set of color and texture based attributes comprises an identification of a color of a portion of an object worn by the set of objects.

3. The computer system of claim 1, wherein the set of color and texture based attributes comprises properties of a color associated with a portion of an object worn by the set of objects.

4. The computer system of claim 1, wherein the set of color and texture based attributes comprises an identification of a pattern of colors associated with an object worn by the set of objects.

5. The computer system of claim 1, wherein the set of color and texture based attributes comprises an identification of a texture associated with a portion of a surface of an object worn by the set of objects.

6. The computer system of claim 1, further comprising:

sixth program instructions to receive the set of video based cohorts by an inference engine; and

seventh program instructions to process the set of video based cohorts by the inference engine, wherein the inference engine uses the set of video based cohorts to generate a set of inferences, and wherein the set of inferences identifies a predicted future activity by members described by the set of video based cohorts, and wherein

the sixth and seventh program instructions are stored on the computer readable storage media for execution by the CPU via the computer readable memory.