Post-Capture Selection of Media Type

• US 20160381299A1
• Filed: 08/23/2016
• Published: 12/29/2016
• Est. Priority Date: 06/24/2015
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Miller, Joshua Alexander, Mancini, Leo Litterello
• Granted Patent: US 10,148,885 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 2203/04803 Split screen, i.e. subdividing the display area or the window area into separate subareas
• CPC Class Codes: G06F 3/0346 with detection of the device orientation or free movement in a 3D space, e.g. 3D mice, 6-DOF [six degrees of freedom] pointers using gyroscopes, accelerometers or tilt-sensors
• CPC Class Codes: G06F 3/0482 Interaction with lists of selectable items, e.g. menus
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06F 3/0488 using a touch-screen or digitiser, e.g. input of commands through traced gestures
• CPC Class Codes: G06F 3/04883 for inputting data by handwriting, e.g. gesture or text
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G06V 40/172 Classification, e.g. identification
• CPC Class Codes: H04N 1/642 Adapting to different types of images, e.g. characters, graphs, black and white image portions
• CPC Class Codes: H04N 23/62 Control of parameters via user interfaces
• CPC Class Codes: H04N 23/64 Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
• CPC Class Codes: H04N 23/80 Camera processing pipelines; Components thereof
• CPC Class Codes: H04N 5/772 the recording apparatus and the television camera being placed in the same enclosure
• CPC Class Codes: H04N 9/8042 involving data reduction

Abstract

In one embodiment, a method includes receiving a user input, the user input representing a request to begin capturing a multimedia content item. The method also includes, in response to the user input, initiating the capturing of the multimedia content item. The method also includes, after the capturing is complete, presenting a plurality of media types to select from. The method further includes receiving a selection of one of the media types. The method also includes, in response to the received selection, encoding one or more portions of the captured multimedia content item in accordance with the media-type selection to produce a corresponding encoded media object.

Claims

1. A method comprising:

detecting a motion of a computing device;

in response to the detected motion, initiating, by the computing device, capturing of the multimedia content item;

after the capturing is complete, presenting, by the computing device, a plurality of media types to select from;

receiving, by the computing device, a selection of one of the media types; and

in response to the received selection, encoding, by the computing device, one or more portions of the captured multimedia content item in accordance with the media-type selection to produce a corresponding encoded media object.

2. The method of claim 1, wherein the detected motion comprises a change in an original orientation of the computing device to a substantially orthogonal orientation or a flicking motion of at least a first end of the computing device.

3. The method of claim 1, further comprising:

performing, by the computing device, facial recognition to identify one or more individuals in the one or more portions of the multimedia content item; and

presenting, by the computing device, a suggestion to share the encoded media object to the one or more individuals.

4. The method of claim 1, further comprising:

determining, by the computing device, one or more suggested portions of the multimedia content item to encode based in part on an amount of motion in the one or more suggested portions of the multimedia content item; and

presenting, by the computing device, the one or more suggested portions of the multimedia content items.

5. The method of claim 1, further comprising:

predicting the selected media type; and

during the capturing of the multimedia content item, adjusting one or more capturing parameters based on the predicted media type.

6. The method of claim 5, wherein the predicting the selected media type is based at least in part on historical information associated with one or more previously captured multimedia content items, user preferences, one or more properties of the captured multimedia content item, or status information associated with the computing device.

7. The method of claim 1, further comprising:

receiving, by the computing device, a selection of an image or a section of the captured multimedia content item; and

extracting, by the computing device, the selected image or section from the captured multimedia content item.

8. One or more computer-readable non-transitory storage media embodying software that is operable when executed by a computing device to:

detect a motion of the computing device;

in response to the detected motion, initiate capturing of the multimedia content item;

after the capturing is complete, present a plurality of media types to select from;

receive a selection of one of the media types; and

in response to the received selection, encode one or more portions of the captured multimedia content item in accordance with the media-type selection to produce a corresponding encoded media object.

9. The media of claim 8, wherein the detected motion comprises a change in an original orientation of the computing device to a substantially orthogonal orientation or a flicking motion of at least a first end of the computing device.

10. The media of claim 8, wherein the software is further operable when executed to:

perform facial recognition to identify one or more individuals in the one or more portions of the multimedia content item; and

present a suggestion to share the encoded media object to the one or more individuals.

11. The media of claim 8, wherein the software is further operable when executed to:

determine one or more suggested portions of the multimedia content item to encode based in part on an amount of motion in the one or more suggested portions of the multimedia content item; and

present the one or more suggested portions of the multimedia content items.

12. The media of claim 8, wherein the software is further operable when executed to:

predict the selected media type; and

during the capturing of the multimedia content item, adjust one or more capturing parameters based on the predicted media type.

13. The media of claim 12, wherein the predicting the selected media type is based at least in part on historical information associated with one or more previously captured multimedia content items, user preferences, one or more properties of the captured multimedia content item, or status information associated with the computing device.

14. The media of claim 8, wherein the software is further operable when executed to:

receive a selection of an image or a section of the captured multimedia content item; and

extract the selected image or section from the captured multimedia content item.

15. A computing device comprising:

one or more processors; and

a memory coupled to the processors comprising instructions executable by the processors, the processors being operable when executing the instructions to;

detect a motion of the computing device;

in response to the detected motion, initiate capturing of the multimedia content item;

after the capturing is complete, present a plurality of media types to select from;

receive a selection of one of the media types; and

in response to the received selection, encode one or more portions of the captured multimedia content item in accordance with the media-type selection to produce a corresponding encoded media object.

16. The computing device of claim 15, wherein the detected motion comprises a change in an original orientation of the computing device to a substantially orthogonal orientation or a flicking motion of at least a first end of the computing device.

17. The computing device of claim 15, wherein the processors are further operable when executing the instructions to:

perform facial recognition to identify one or more individuals in the one or more portions of the multimedia content item; and

present a suggestion to share the encoded media object to the one or more individuals.

18. The computing device of claim 15, wherein the processors are further operable when executing the instructions to:

determine one or more suggested portions of the multimedia content item to encode based in part on an amount of motion in the one or more suggested portions of the multimedia content item; and

present the one or more suggested portions of the multimedia content items.

19. The computing device of claim 15, wherein the processors are further operable when executing the instructions to:

predict the selected media type; and

during the capturing of the multimedia content item, adjust one or more capturing parameters based on the predicted media type.

20. The computing device of claim 19, wherein the predicting the selected media type is based at least in part on historical information associated with one or more previously captured multimedia content items, user preferences, one or more properties of the captured multimedia content item, or status information associated with the computing device.