Content-based client side video transcoding
Among other things, embodiments of the present disclosure improve the functionality of electronic messaging and imaging software and systems by automating the client-side transcoding of video data based on content. For example, an appropriate transcoding configuration can be selected for video data having complex motion or textures. Accordingly, video quality can be improve when complex motions or textures are present.
1. A system comprising:
a processor;
a user interface coupled to the processor, the user interface comprising an image capture device; and
memory coupled to the processor and storing instructions that, when executed by the processor, cause the system to perform operations comprising:
determining a complexity between at least two frames of captured video data, the captured video data including a field of view;
determining a particular bitrate that corresponds to a video quality metric for the complexity determined between the at least two frames; and
selecting a transcoding configuration that applies the particular bitrate among a plurality of bitrates to the video data causing generation of transcoded video data using the particular bitrate.
2. The system of claim 1 , wherein determining a complexity includes determining the complexity within the field of view of the image capture device.
3. The system of claim 1 , further comprising: generating the transcoded video data based on the selected transcoded configuration.
4. The system of claim 1 , wherein the transcoding configuration is selected from a plurality of transcoding configurations of varying bitrates.
5. The system of claim 1 , wherein the bitrate applied to the transcoded video is selected to correspond to a video quality metric.
6. The system of claim 5 , wherein the bitrate applied is based on predefined mappings between at least one video quality metric and the transcoding configuration.
7. The system of claim 1 , wherein determining the complexity within the field of view of the image capture device includes detecting motion within the field of view.
8. The system of claim 7 , wherein determining the complexity within the field of view of the image capture device includes determining that the detected motion exceeds a predetermined threshold.
9. The system of claim 1 , wherein determining the complexity within the field of view of the image capture device includes detecting a texture within the field of view.
10. The system of claim 1 , wherein determining the complexity within the field of view of the image capture device includes determining an average difference between a plurality of frames in the captured video data and a plurality of frames in the video data.
11. The system of claim 1 , wherein determining the complexity within the field of view of the image capture device includes determining a square error between a plurality of frames in the captured video data and a plurality of frames in the video data.
12. The system of claim 1 , wherein determining the complexity within the field of view of the image capture device includes determining a peak signal-to-noise ratio between a first frame in the video data and a second frame in the video data.
13. The system of claim 1 , wherein the bitrate applied to the transcoded video is one of: a fixed bitrate, or a variable bitrate.
14. The system of claim 1 , wherein generating the transcoded video includes transcoding the video according to a predetermined transcoding profile to generate the transcoded video at a predetermined bitrate.
15. The system of claim 1 , wherein the operations further comprise encoding the captured video data to generate encoded video data, wherein the complexity is determined based on the encoded video data.
16. The system of claim 15 , wherein the complexity is determined based on a comparison between at least a portion of the captured video data and at least a portion of the encoded video data.
17. The system of claim 15 , wherein encoding the captured video data is performed using one or more of: a frame by frame encoding, and an encoding of a collection of frames.
18. The system of claim 15 , wherein the captured video data is compressed, wherein a difference between the captured video data and the encoded video data results in a larger difference for compression artifacts between frames than non-compression artifacts.
19. A computer-implemented method comprising:
determining a complexity between at least two frames of captured video data, the captured video data including a field of view;
determining a particular bitrate that corresponds to a video quality metric for the complexity determined between the at least two frames; and
selecting a transcoding configuration that applies the particular bitrate among a plurality of bitrates to the video data causing generation of transcoded video data using the particular bitrate.
20. A non-transitory computer-readable medium storing instructions that, when executed by a computer system, cause the computer system to perform operations comprising:
determining a complexity between at least two frames of captured video data, the captured video data including a field of view;
determining a particular bitrate that corresponds to a video quality metric for the complexity determined between the at least two frames; and
selecting a transcoding configuration that applies the particular bitrate among a plurality of bitrates to the video data causing generation of transcoded video data using the particular bitrate.