Visual hash tags via trending recognition activities, systems and methods
US-9544655-B2 · Jan 10, 2017 · US
US9860601B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9860601-B2 |
| Application number | US-201615362618-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 28, 2016 |
| Priority date | Dec 13, 2013 |
| Publication date | Jan 2, 2018 |
| Grant date | Jan 2, 2018 |
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A system and method of treating image data as a visual hash tag are presented. A device is able to subscribe to a content channel, possibly a channel that provide social media information, by the act of recognizing related objects without requiring a user to annotate content with unnatural hash tags.
Opening claim text (preview).
What is claimed is: 1. A digital content subscribing device comprising: a display; a non-transitory computer readable memory storing software instructions; and a processor coupled with the display and the non-transitory computer readable memory, and that, upon execution of the software instructions, operates as: a recognition module configurable to: acquire a digital image that includes images of a plurality of objects; and derive a set of descriptors associated with the plurality of objects from the digital image as a function of an implementation of at least one object recognition algorithm; an object analysis module coupled with the recognition module and configurable to: identify subsets of descriptors relevant to object features of objects in the plurality of objects; recognize some of the plurality of objects as recognized objects as a function of the subsets of descriptors; and weight the subsets of descriptors according to relevancy rules as a function of the recognized objects thereby forming weighted subsets of descriptors; and a subscription agent coupled with the object analysis module and configurable to: receive a list of content channel identifiers for the recognized objects based on a submission of the weighted subsets of descriptors as a query to a channel database; subscribe to at least one digital content channel associated with the recognized objects based on content channel identifiers; render, via the display, digital content from the at least one digital content channel and retrieved from a source device. 2. The device of claim 1 , wherein the digital image comprises video data. 3. The device of claim 1 , wherein the digital image comprises at least one of the following: a healthcare image, a media file, and an x-ray. 4. The device of claim 1 , further comprising a computing device that includes the display, the non-transitory computer readable memory, and the processor operating as the recognition module, the object analysis module, and the subscription agent. 5. The device of claim 4 , wherein the computing device includes at least one of the following: a mobile phone, a vehicle, a tablet, a phablet, a game console, a kiosk, an appliance, a set top box, a server, a computer, a virtual reality device, a projected reality device, a point-of-sales device, a vending machine, and a toy. 6. The device of claim 1 , further comprising a medical device that includes the display, the non-transitory computer readable memory, and processor operating as the recognition module, the object analysis module, and the subscription agent. 7. The device of claim 1 , wherein the plurality of objects comprises different objects. 8. The device of claim 1 , wherein the recognized objects include at least one of the following: a poster, a person, a vehicle, a building, a toy, a logo, an album cover, a product, a celebrity, and a symbol. 9. The device of claim 1 , wherein the recognized objects include at least a portion of a patient. 10. The device of claim 9 , wherein the at least a portion of a patient includes a face. 11. The device of claim 1 , wherein the at least one object recognition algorithm includes one of the following algorithms: SIFT, FREAK, FAST, DAISY, BRISK, Harris, edge detection, and MSER. 12. The device of claim 1 , wherein the subsets of descriptors include at least one of the following types of descriptors: SIFT descriptors, FREAK descriptors, FAST descriptors, DAISY descriptors, BRISK descriptors, Harris descriptors, MSER descriptors, and edge descriptors. 13. The device of claim 1 , wherein the channel identifiers include at least one of the following: a URL, a URI, an IP address, a TCP port, a UDP port, a radio station, a wireless channel, a wavelength, a GUID, and a UUID. 14. The device of claim 1 , wherein the query is submitted over a network to a search engine operating as the channel database. 15. The device of claim 1 , wherein a list of content channel identifiers comprises a ranked list of the content channel identifiers. 16. The device of claim 15 , wherein the content channel identifiers are ranked as a function of at least one of the following: a distance from the subsets of descriptors to corresponding indexing descriptors, a device location information, a time information, a context information, a user preference, a relationship between users, an advertiser information, a payment, and a fee schedule. 17. The device of claim 1 , wherein the digital content comprises a medical feed. 18. The device of claim 1 , wherein the digital content comprises biometrics. 19. The device of claim 1 , wherein the digital content comprises healthcare records. 20. The device of claim 1 , wherein the digital content comprises at least one of the following: a social feed, an advertising feed, a curated feed, a programmed feed, and a peer-to-peer feed. 21. The device of claim 1 , wherein the digital content comprises at least one of the following types of content: image content, video content, advertisement content, application data, and game content. 22. The device of claim 1 , wherein the subscription agent is further configurable to use the channel identifiers to subscribe to the at least one digital content channel by establishing a communication session with the source device. 23. The device of claim 22 , wherein the communication session is a persistent session. 24. The device of claim 22 , wherein the subscription agent is further configurable to retrieve the digital content from the source device via at least one of: a continuous feed, a periodic feed, a push feed, and a pull feed.
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