Post-capture selection of media type

• US 9,479,696 B1
• Filed: 06/24/2015
• Issued: 10/25/2016
• 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
• Primary Examiner(s): HANNETT, JAMES M
• Application Number:
  US14/748,734
• Time in Patent Office: 489 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:

receiving, by a computing device, a user input, the user input representing a request to begin capturing a multimedia content item;

in response to the user input, initiating, by the computing device, the capturing of the multimedia content item;

terminating, by the computing device, the capturing of the multimedia content item after detecting a motion of the computing device, the detected motion comprising 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;

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 computing device comprises a touch sensor; and

the user input comprises a tap or press applied to the touch sensor by a finger or stylus.

3. The method of claim 1, wherein:

the computing device comprises a motion sensor; and

the user input comprises another motion detected by the computing device.

4. The method of claim 3, wherein the motion sensor comprises a gyroscope or an accelerometer.

5. The method of claim 1, further comprising, during the capturing of the multimedia content item, capturing one or more high-quality still images.

6. The method of claim 1, wherein the multimedia content item comprises a digital video.

7. The method of claim 1, wherein the plurality of media types comprises video, still image, or a Graphics Interchange Format (GIF) image or animation.

8. The method of claim 1, further comprising:

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

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

9. The method of claim 1, further comprising performing facial recognition to identify one or more people who appear in the captured multimedia content item or in the encoded media object.

10. The method of claim 9, further comprising displaying a suggestion to share the encoded media object with one or more of the identified people.

11. The method of claim 9, further comprising displaying a suggestion to create an association between the encoded media object and one or more of the identified people.

12. The method of claim 1, further comprising performing image analysis to identify one or more entities appearing in the captured multimedia content item or in the encoded media object.

13. The method of claim 12, further comprising displaying a suggestion to create an association between the encoded media object and the identified entities.

14. The method of claim 1, further comprising:

detecting a location of the computing device during the capturing of the multimedia content item; and

displaying a suggestion to tag the encoded media object with the location.

15. 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.

16. The method of claim 15, 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.

17. The method of claim 1, further comprising, after the capturing of the video is terminated, presenting one or more portions of the captured multimedia content item as suggested portions to be encoded.

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

receive a user input, the user input representing a request to begin capturing a multimedia content item;

initiate, in response to the user input, the capturing of the multimedia content item;

terminate the capturing of the multimedia content item after detecting a motion of the computing device, the detected motion comprising 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;

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

receive a selection of one of the media types; and

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

20. The media of claim 18, wherein:

the computing device comprises a touch sensor; and

the user input comprises a tap or press applied to the touch sensor by a finger or stylus.

21. The media of claim 18, wherein:

the computing device comprises a motion sensor; and

the user input comprises another motion detected by the computing device.

22. The media of claim 21, wherein the motion sensor comprises a gyroscope or an accelerometer.

23. The media of claim 18, wherein the software is further operable when executed to capture one or more high-quality still images during the capturing of the multimedia content item.

24. The media of claim 18, wherein the multimedia content item comprises a digital video.

25. The media of claim 18, wherein the plurality of media types comprises video, still image, or a Graphics Interchange Format (GIF) image or animation.

26. The media of claim 18, 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.

27. The media of claim 18, wherein the software is further operable when executed to perform facial recognition to identify one or more people who appear in the captured multimedia content item or in the encoded media object.

28. The media of claim 27, wherein the software is further operable when executed to display a suggestion to share the encoded media object with one or more of the identified people.

29. The media of claim 27, wherein the software is further operable when executed to display a suggestion to create an association between the encoded media object and one or more of the identified people.

30. The media of claim 18, wherein the software is further operable when executed to perform image analysis to identify one or more entities appearing in the captured multimedia content item or in the encoded media object.

31. The media of claim 30, wherein the software is further operable when executed to display a suggestion to create an association between the encoded media object and the identified entities.

32. The media of claim 18, wherein the software is further operable when executed to:

detect a location of the computing device during the capturing of the multimedia content item; and

display a suggestion to tag the encoded media object with the location.

33. The media of claim 18, 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.

34. The media of claim 33, 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.

35. The media of claim 18, wherein the software is further operable when executed to, after the capturing of the video is terminated, present one or more portions of the captured multimedia content item as suggested portions to be encoded.

19. 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;

receive a user input, the user input representing a request to begin capturing a multimedia content item;

initiate, in response to the user input, the capturing of the multimedia content item;

terminate the capturing of the multimedia content item after detecting a motion of the computing device, the detected motion comprising 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;

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

receive a selection of one of the media types; and

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

36. The computing device of claim 19, wherein:

the computing device comprises a touch sensor; and

the user input comprises a tap or press applied to the touch sensor by a finger or stylus.

37. The computing device of claim 19, wherein:

the computing device comprises a motion sensor; and

the user input comprises another motion detected by the computing device.

38. The computing device of claim 37, wherein the motion sensor comprises a gyroscope or an accelerometer.

39. The computing device of claim 19, wherein the processors are further operable when executing the instructions to capture one or more high-quality still images during the capturing of the multimedia content item.

40. The computing device of claim 19, wherein the multimedia content item comprises a digital video.

41. The computing device of claim 19, wherein the plurality of media types comprises video, still image, or a Graphics Interchange Format (GIF) image or animation.

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

43. The computing device of claim 19, wherein the processors are further operable when executing the instructions to perform facial recognition to identify one or more people who appear in the captured multimedia content item or in the encoded media object.

44. The computing device of claim 43, wherein the processors are further operable when executing the instructions to display a suggestion to share the encoded media object with one or more of the identified people.

45. The computing device of claim 43, wherein the processors are further operable when executing the instructions to display a suggestion to create an association between the encoded media object and one or more of the identified people.

46. The computing device of claim 19, wherein the processors are further operable when executing the instructions to perform image analysis to identify one or more entities appearing in the captured multimedia content item or in the encoded media object.

47. The computing device of claim 46, wherein the processors are further operable when executing the instructions to display a suggestion to create an association between the encoded media object and the identified entities.

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

detect a location of the computing device during the capturing of the multimedia content item;

and

display a suggestion to tag the encoded media object with the location.

49. The computing device of claim 19, 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.

50. The computing device of claim 49, 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.

51. The computing device of claim 19, wherein the processors are further operable when executing the instructions to, after the capturing of the video is terminated, present one or more portions of the captured multimedia content item as suggested portions to be encoded.