Method and apparatus for determining supplementary parameters of electronic content
Systems and methods for determining parameters of devices that may have influenced generated content, and appending values of these parameters to the generated content for the benefit of other users. Devices near the location at which the content was generated may be selected, and parameters of these devices may be retrieved. These device parameters are often relevant to the generated content. Accordingly, the retrieved parameter values may be appended to the generated content for transmission along with the content. In this manner, other users may view both the content and the parameters of nearby devices that may have influenced the setting of the content, assisting users in, for example, recreating the content or its subject matter for themselves.
1. A method comprising:
determining that electronic digital content is captured at a first location by a content generation device, wherein the electronic digital content comprises one or more of image, video, or audio signal;
in response to the determining that the electronic digital content is captured, identifying one or more electronic devices at the first location with a sensor detecting one or more parameters comprising a lighting condition, an audio condition, or a local air temperature condition; and
storing the electronic digital content with metadata comprising the one or more parameters.
2. The method of claim 1 , further comprising:
transmitting the electronic digital content and the metadata comprising the one or more parameters to one or more additional electronic devices.
3. The method of claim 2 , wherein the transmitting further comprises:
sharing, as a social media post, the electronic digital content and the associated one or more parameters.
4. The method of claim 1 , wherein the one or more parameters comprise power levels corresponding to one or more illumination sources.
5. The method of claim 1 , wherein identifying the one or more electronic devices comprises determining that the one or more electronic devices are a subject of the electronic digital content captured by the content generation device.
6. The method of claim 1 , further comprising:
determining a context of the electronic digital content using one or more machine learning models; and
selecting the one or more parameters based, at least in part, on the context.
7. The method of claim 1 , wherein the one or more parameters comprise one or more environmental parameters measured by one or more sensors when the electronic digital content was captured.
8. The method of claim 1 , wherein the storing comprises recording the electronic digital content and the one or more parameters of the one or more electronic devices in a database.
9. The method of claim 1 , wherein the identifying of the one or more electronic devices comprises determining that the one or more electronic devices share a same local network with the content generation device.
10. A system comprising:
processing circuitry configured:
to determine that electronic digital content is captured at a first location by a content generation device, wherein the electronic digital content comprises one or more of image, video, or audio signal; and
in response to the determining that the electronic digital content is captured, to identify one or more electronic devices at the first location with a sensor detecting one or more parameters comprising a lighting condition, an audio condition, or a local air temperature condition; and
a memory configured to store the electronic digital content with metadata comprising the one or more parameters.
11. The system of claim 10 , further comprising:
transmitting the electronic digital content and the metadata comprising the one or more parameters to one or more additional electronic devices.
12. The system of claim 10 , wherein the transmitting further comprises:
sharing, as a social media post, the electronic digital content and the associated one or more parameters.
13. The system of claim 10 , wherein the one or more parameters comprise power levels corresponding to one or more illumination sources.
14. The system of claim 10 , wherein identifying the one or more electronic devices comprises determining that the one or more electronic devices are a subject of the electronic digital content captured by the content generation device.
15. The system of claim 10 , further comprising:
determining a context of the electronic digital content using one or more machine learning models; and
selecting the one or more parameters based, at least in part, on the context.
16. The system of claim 10 , wherein the one or more parameters comprise one or more environmental parameters measured by one or more sensors when the electronic digital content was captured.
17. The system of claim 10 , wherein the storing comprises recording the electronic digital content and the one or more parameters of the one or more electronic devices in a database.
18. The system of claim 10 , wherein the identifying of the one or more electronic devices comprises determining that the one or more electronic devices share a same local network with the content generation device.
19. A system comprising:
means for determining that electronic digital content is captured at a first location by a content generation device, wherein the electronic digital content comprises one or more of image, video, or audio signal;
means for identifying, in response to the determining that the electronic digital content is captured, one or more electronic devices at the first location with a sensor detecting one or more parameters comprising a lighting condition, an audio condition, or a local air temperature condition; and
means for storing the electronic digital content with metadata comprising the one or more parameters.
20. The system of claim 19 , wherein the one or more parameters comprise power levels corresponding to one or more illumination sources.