Metadata injection of content items using composite content

• US 9,715,506 B2
• Filed: 10/16/2015
• Issued: 07/25/2017
• Est. Priority Date: 10/09/2013
• Status: Expired due to Fees

• Current Assignee: Smart Screen Networks, Inc.
• Original Assignee: Smart Screen Networks, Inc.
• Inventors: Rosen, Stephen D., Stallings, John, Strickland, Robert A., Symon, Jeff, Strickland, Kyle David
• Primary Examiner(s): GEBRESENBET, DINKU W
• Application Number:
  US14/885,924
• Publication Number:
  US 20170109349A1
• Time in Patent Office: 648 Days
• CPC Class Codes: G06F 16/164 File meta data generation
• CPC Class Codes: G06F 16/2291 User-Defined Types; Storage management thereof
• CPC Class Codes: G06F 16/23 Updating
• CPC Class Codes: G06F 16/245 Query processing
• CPC Class Codes: G06F 16/254 Extract, transform and load [ETL] procedures, e.g. ETL data flows in data warehouses
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/5866 using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
• 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 16/907 Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
• CPC Class Codes: G06F 16/908 using metadata automatically derived from the content
• CPC Class Codes: G06F 16/9554 by using bar codes
• CPC Class Codes: G06F 40/143 Markup, e.g. Standard Generalized Markup Language [SGML] or Document Type Definition [DTD]
• CPC Class Codes: G06Q 10/1093 Calendar-based scheduling for persons or groups
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 30/40 for processing medical images, e.g. editing
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass
• CPC Class Codes: H04L 2101/69 using geographic information, e.g. room number

Abstract

Injection of metadata using composite content. In an embodiment, one or more content items are received, and data is retrieved from a plurality of metadata sources. A visual depiction of metadata is generated for at least one of the content item(s) based on the retrieved data. A composite content item is generated to comprise at least a portion of each of the content item(s) and the visual depiction of the metadata.

Claims

1. A method comprising using at least one hardware processor of a mobile device having a camera to:

create one or more content items by at least capturing an image, via the camera, as at least one of the one or more content items;

retrieve data from a plurality of metadata sources, wherein the retrieved data comprises a location corresponding to a location at which the image was captured;

generate a visual depiction of metadata for at least one of the one or more content items based on the retrieved data, wherein the visual depiction of metadata comprises a map image having a visual indication representing the location at which the image was captured; and

generate a composite content item comprising a single image file that combines at least a portion of each of the one or more content items, including at least a portion of the captured image of the at least one content item, with the visual depiction of the metadata, including the map image having the visual indication representing the location at which the image was captured.

2. The method of claim 1, wherein the visual depiction of metadata comprises text.

3. The method of claim 1, wherein the composite content item comprises at least one composite image comprising the at least a portion of each of the one or more content items and the visual depiction of the metadata.

4. The method of claim 3, wherein the composite content item is a video and the at least one composite image is a video frame within the video.

5. The method of claim 1, wherein the composite content item further comprises embedded metadata fields, and wherein the method further comprises using the at least one hardware processor to:

generate metadata based on the retrieved data; and

add the generated metadata to the embedded metadata fields of the composite content item.

6. The method of claim 1, wherein generating the composite content item comprises:

accessing a template comprising an arrangement; and

arranging the at least a portion of each of the one or more content items and the visual depiction of the metadata in the composite content item according to the arrangement in the template.

7. The method of claim 6, wherein the one or more content items comprise a plurality of content items.

8. The method of claim 7, wherein the plurality of content items comprises a plurality of images, and wherein the composite content item comprises a composite of at least a portion of each of the plurality of images.

9. The method of claim 7, wherein receiving the plurality of content items comprises:

receiving a first one of the plurality of content items;

retrieving first data from at least one of the plurality of metadata sources based on the first content item; and

retrieving at least a second one of the plurality of content items based on the retrieved first data.

10. The method of claim 9, wherein the first content item is an image representing a first asset, and wherein the second content item is an image representing a second asset that is associated with the first asset at the at least one metadata source.

11. The method of claim 9, wherein the first content item is an image representing a first asset, and wherein the second content item is an image representing a component of the first asset that is associated with the first asset at the at least one metadata source.

12. The method of claim 7, further comprising generating one or more user interfaces that prompt a user to acquire each of the plurality of content items.

13. The method of claim 12, wherein the one or more user interfaces prompt the user to acquire an image of a receipt, such that the plurality of content items comprise an image of a receipt.

14. The method of claim 13, further comprising using the at least one hardware processor to:

acquire text from the image of the receipt using optical character recognition; and

add the text to metadata associated with the composite content item.

15. The method of claim 12, wherein the one or more user interfaces prompt the user to acquire an image of an odometer, such that the plurality of content items comprise a first image of an odometer.

16. The method of claim 15, wherein the one or more user interfaces prompt the user to acquire a second image of the odometer, such that the plurality of content items further comprise a second image of the odometer, and wherein the method further comprises using the at least one hardware processor to:

convert the first image of the odometer into a first odometer reading;

convert the second image of the odometer into a second odometer reading;

calculate a difference between the first odometer reading and the second odometer reading; and

add the calculated difference to metadata associated with the composite content item.

17. The method of claim 12, wherein the one or more user interfaces prompt the user to acquire each of the plurality of content items according to a predefined taxonomy that identifies a plurality of content types to be acquired.

18. A system comprising:

a camera;

at least one hardware processor; and

one or more software modules that, when executed by the at least one hardware processor,

capture an image via the camera,

retrieve data from a plurality of metadata sources, wherein the retrieved data comprises a location corresponding to a location at which the image was captured,

generate a visual depiction of metadata for the captured image based on the retrieved data, wherein the visual depiction of metadata comprises a map image having a visual indication representing the location at which the image was captured, and

generate a single image file that combines at least a portion of the captured image with the map image having the visual indication representing the location at which the image was captured.

19. A non-transitory computer-readable medium having instructions stored thereon, wherein the instructions, when executed by a processor, cause the processor to:

capture an image via a camera;

retrieve data from a plurality of metadata sources, wherein the retrieved data comprises a location corresponding to a location at which the image was captured;

generate a visual depiction of metadata for the captured image based on the retrieved data, wherein the visual depiction of metadata comprises a map image having a visual indication representing the location at which the image was captured; and

generate a single image file that combines at least a portion of the captured image with the map image having the visual indication representing the location at which the image was captured.