Tag distribution visualization system

• US 10,678,818 B2
• Filed: 01/03/2018
• Issued: 06/09/2020
• Est. Priority Date: 01/03/2018
• Status: Active Grant

• Current Assignee: Snap, Inc.
• Original Assignee: Snap, Inc.
• Inventors: Huang, Xuan, Maxwell, Andrew, Tong, Shuai, Wang, Xiaoyu
• Primary Examiner(s): Stevens, Robert
• Application Number:
  US15/860,847
• Publication Number:
  US 20190205430A1
• Time in Patent Office: 888 Days
• Field of Search: 707737
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/487 using geographical or spatial information, e.g. location
• CPC Class Codes: G06F 16/489 using time information
• CPC Class Codes: G06V 10/25 Determination of region of interest [ROI] or a volume of interest [VOI]
• CPC Class Codes: G06V 10/255 Detecting or recognising potential candidate objects based on visual cues, e.g. shapes
• CPC Class Codes: G06V 10/44 Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components

Abstract

In various embodiments described herein, a visualization system receives message requests from client devices, wherein the message requests comprise at least location data that identifies a location of a client device, and media content, wherein the media content includes at least one of image data, audio data, and video data. In response to receiving the message requests that comprise the media content, the visualization system analyzes and parses the media content to detect one or more tags embedded within the media content. In response to detecting the tag, the visualization system identifies a campaign or account referenced by or associated with the tag. Based on the identification of the campaign based on the tag within the media content, the visualization system determines a distribution of the campaign based on the location data from the message request.

Claims

1. A method comprising:

receiving a message request that comprises location data and media content;

detecting a pattern within the media content based on pattern recognition;

comparing the pattern against a tag database;

identifying a tag based on a match to the pattern within the tag database;

identifying a campaign based on the tag; and

causing display of a visualization of a distribution of the campaign based on the location data of the message request in response to the identifying of the campaign based on the tag.

2. The method of claim 1, wherein the media content includes at least one of an image, a video, audio data, a caption, a logo, and a text string.

3. The method of claim 1, wherein the campaign further comprises a start date and an end date, the message request further comprises a time-stamp that indicates a time of the message request, and wherein the causing display of the visualization of the distribution of the campaign further comprises:

presenting a temporal distribution of the campaign, the temporal distribution of the campaign spanning a period of time that includes the start date and the end date of the campaign, and includes an indication of the time of the message request.

4. The method of claim 1, wherein the visualization of the distribution of the campaign includes a choropleth map.

5. The method of claim 1, wherein the message request is a first message request, the location data is a first location data that identifies a location, and the method further comprises:

generating a geo-fence that encompasses the location identified by the first location data of the first message request in response to the identifying the campaign based on the tag of the first message request;

assigning the geo-fence to the campaign;

receiving a second message request that comprises second media content, and second location data that identifies the location of the geo-fence;

detecting the tag within the second media content of the second message request; and

adjusting the visualization of the distribution of the campaign in response to the detecting the tag within the second media content of the second message request.

6. The method of claim 1, wherein the campaign comprises a campaign identifier, and wherein the causing display of the visualization of the distribution of the campaign based on the location data of the message request further comprises:

causing display of a map image that depicts a region that includes a location identified by the location data; and

presenting a graphical icon at the location identified by the location data within the map image, the graphical icon based on the campaign identifier.

7. A system comprising:

a memory; and

at least one hardware processor coupled to the memory and comprising instructions that causes the system to perform operations comprising;

receiving a message request that comprises location data and media content;

detecting a pattern within the media content based on pattern recognition;

comparing the pattern against a tag database;

identifying a tag based on a match to the pattern within the tag database;

identifying a campaign based on the tag; and

causing display of a visualization of a distribution of the campaign based on the location data of the message request in response to the identifying the campaign based on the tag.

8. The system of claim 7, wherein the media content includes at least one of an image, a video, audio data, a caption, a logo, and a text string.

9. The system of claim 7, wherein the campaign further comprises a start date and an end date, the message request further comprises a time-stamp that indicates a time of the message request, and wherein the causing display of the visualization of the distribution of the campaign further comprises:

presenting a temporal distribution of the campaign, the temporal distribution of the campaigning spanning a period of time that includes the start date and the end date of the campaign, and includes an indication of the time of the message request.

10. The system of claim 7, wherein the visualization of the distribution of the campaign includes a choropleth map.

11. The system of claim 7, wherein the message request is a first message request, the location data is a first location data that identifies a location, and the instructions cause the system to perform operations further comprising:

generating a geo-fence that encompasses the location identified by the first location data of the first message request in response to the identifying the campaign based on the tag of the first message request;

assigning the geo-fence to the campaign;

receiving a second message request that comprises second media content, and second location data that identifies the location of the geo-fence;

detecting the tag within the second media content of the second message request; and

adjusting the visualization of the distribution of the campaign in response to the detecting the tag within the second media content of the second message request.

12. The system of claim 7, wherein the campaign comprises a campaign identifier, and wherein the causing display of the visualization of the distribution of the campaign based on the location data of the message request further comprises:

causing display of a map image that depicts a region that includes a location identified by the location data; and

presenting a graphical icon at the location identified by the location data within the map image, the graphical icon based on the campaign identifier.

13. A non-transitory machine-readable storage medium comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:

receiving a message request that comprises location data and media content;

detecting a pattern within the media content based on pattern recognition;

comparing the pattern against a tag database;

identifying a tag based on a match to the pattern within the tag database;

identifying a campaign based on the tag; and

causing display of a visualization of a distribution of the campaign based on the location data of the message request in response to the identifying the campaign based on the tag.

14. The non-transitory machine-readable storage medium of claim 13, wherein the media content includes at least one of an image, a video, audio data, a caption, a logo, and a text string.

15. The non-transitory machine-readable storage medium of claim 13, wherein the campaign further comprises a start date and an end date, the message request further comprises a time-stamp that indicates a time of the message request, and wherein the causing display of the visualization of the distribution of the campaign further comprises:

presenting a temporal distribution of the campaign, the temporal distribution of the campaigning spanning a period of time that includes the start date and the end date of the campaign, and includes an indication of the time of the message request.

16. The non-transitory machine-readable storage medium of claim 13, wherein the visualization of the distribution of the campaign includes a choropleth map.

17. The non-transitory machine-readable storage medium of claim 13, wherein the message request is a first message request, the location data is a first location data that identifies a location, and the instructions cause the machine to perform operations further comprising:

generating a geo-fence that encompasses the location identified by the first location data of the first message request in response to the identifying the campaign based on the tag of the first message request;

assigning the geo-fence to the campaign;

receiving a second message request that comprises second media content, and second location data that identifies the location of the geo-fence;

detecting the tag within the second media content of the second message request; and

adjusting the visualization of the distribution of the campaign in response to the detecting the tag within the second media content of the second message request.