Optimization of encoding profiles for media streaming
Techniques described herein are directed toward creating one or more “dynamic profiles” for media (video) streaming in which an encoding bit rate (and optionally other profile settings) is optimized for particular content. More specifically, techniques involve performing one or more “probe” encodings of the particular content to determine an encoding bit rate (and optionally other profile settings) that results in an encoding having a quality value sufficiently near (within a threshold) a target quality value.
1 . A method for dynamically encoding content for adaptive bit rate (ABR) streaming, comprising:
determining a geographic reach for an intended distribution of the content and network capabilities for the intended distribution of the content, wherein determining the geographic reach and the network capabilities comprises:
assessing network bandwidth and reliability in a plurality of target regions; and receiving a request for the content;
generating encoding profiles for the content based at least in part on the geographic reach for the intended distribution of the content and the network capabilities for the intended distribution of the content, wherein the generating the encoding profiles comprises:
generating a first subset of high bitrate encoding profiles for one or more target regions of the plurality of target regions with high bandwidth;
generating a second subset of low bitrate encoding profiles for one or more target regions of the plurality of target regions with low bandwidth; and
based, at least in part, on determining that the request for the content corresponds to the one or more target regions of the plurality of target regions with high bandwidth, encoding the content with the first subset of high bitrate encoding profiles.
2 . The method of claim 1 , further comprising:
determining each of a complexity of the content, the geographic reach for the intended distribution of the content, the network capabilities for the intended distribution of the content, content usage statistics for an intended lifespan of the content, and a type of a device used by a target audience of the content.
3 . The method of claim 2 , wherein determining the complexity of the content comprises:
identifying high-motion and low-motion scenes within the content; and
adjusting encoding bit rates accordingly, with higher bit rates for high-motion scenes and lower bit rates for low-motion scenes.
4 . The method of claim 2 , wherein the determining the content usage statistics comprises:
analyzing viewing patterns and popularity of a plurality types of the content; and
adjusting the encoding profiles to prioritize high-quality encoding parameters for frequently viewed content.
5 . The method of claim 2 , wherein the determining the intended lifespan of the content comprises:
categorizing the content by the intended lifespan as at least one of live content, short-living content, or long-living content; and
selecting encoding parameters that balance quality and storage requirements based on the intended lifespan of the content.
6 . The method of claim 1 , further comprising:
prioritizing encoding parameters based on device types;
identifying one or more primary types of devices used by a target audience; and
generating encoding profiles that prioritize high-quality encoding parameters for one or more most commonly used devices.
7 . The method of claim 1 , comprising:
parsing the request to extract a location of source content and one or more target encoding parameters.
8 . The method of claim 1 , wherein the generating the encoding profiles further comprises:
generating the encoding profiles with a plurality of bit rates, resolutions, and framerates, based at least in part on the geographic reach for the intended distribution of the content and the network capabilities for the intended distribution of the content.
9 . The method of claim 1 , comprising:
allocating server resources to control encoding based on the generated encoding profiles.
10 . A system for dynamically encoding content for adaptive bit rate (ABR) streaming, comprising:
a processor configured to determine a geographic reach for an intended distribution of the content and network capabilities for the intended distribution of the content, wherein the processor is configured to determine the geographic reach and the network capabilities by:
assessing network bandwidth and reliability in a plurality of target regions; and
a receiver configured to receive a request for the content;
an encoder configured to:
generate encoding profiles for the content based at least in part on the geographic reach for the intended distribution of the content and the network capabilities for the intended distribution of the content, wherein the encoder is configured to generate the encoding profiles by:
generating a first subset of high bitrate encoding profiles for one or more target regions of the plurality of target regions with high bandwidth;
generating a second subset of low bitrate encoding profiles for one or more target regions of the plurality of target regions with low bandwidth; and
based, at least in part, on determining that the request for the content corresponds to the one or more target regions of the plurality of target regions with high bandwidth, encode the content with the first subset of high bitrate encoding profiles.
11 . The system of claim 10 , wherein the processor is further configured to determine each of a complexity of the content, the geographic reach for the intended distribution of the content, the network capabilities for the intended distribution of the content, content usage statistics for an intended lifespan of the content, and a type of a device used by a target audience of the content.
12 . The system of claim 11 , wherein the processor is further configured to determine the complexity of the content by identifying high-motion and low-motion scenes within the content, and adjusting encoding bit rates accordingly, with higher bit rates for high-motion scenes and lower bit rates for low-motion scenes.
13 . The system of claim 11 , wherein the processor is further configured to determine the content usage statistics by analyzing viewing patterns and popularity of a plurality of types of the content, and adjusting the encoding profiles to prioritize high-quality encoding parameters for frequently viewed content.
14 . The system of claim 11 , wherein the processor is further configured to determine the intended lifespan of the content by categorizing the content by the intended lifespan as at least one of live content, short-living content, or long-living content, and selecting encoding parameters that balance quality and storage requirements based on the intended lifespan of the content.
15 . The system of claim 10 , further comprising:
a prioritization module configured to prioritize encoding parameters based on device types;
the processor further configured to identify one or more primary types of devices used by a target audience; and
the encoder further configured to generate encoding profiles that prioritize high-quality encoding parameters for one or more most commonly used devices.
16 . The system of claim 10 , further comprising:
a parser configured to parse the request to extract a location of source content and one or more target encoding parameters.
17 . The system of claim 10 , wherein the encoder is further configured to generate the encoding profiles with a plurality of bit rates, resolutions, and framerates based at least in part on the geographic reach for the intended distribution of the content and
the network capabilities for the intended distribution of the content.
18 . The system of claim 10 , further comprising:
a resource allocator configured to allocate server resources to control encoding based on the generated encoding profiles.