VIDEO PRE-ENCODING ANALYZING METHOD FOR MULTIPLE BIT RATE ENCODING SYSTEM
A method for encoding video for communication over a network includes receiving, at a first video encoder, video data that defines frames, generating; by the first video encoder, motion vectors that characterize motion between frames of the video data; and communicating, by the first video encoder, the video data and metadata that defines at least the motion vectors to a second video encoder. The method also includes generating, by the second video encoder, refined motion vectors based on the video data and the motion vectors communicated from the first video encoder; and encoding, by the second video encoder, the video data based on the refined motion vectors.
1 . A method for encoding video for communication over a network comprising:
receiving, at a first video encoder, video data that defines frames;
generating, by the first video encoder, motion vectors that characterize motion between frames of the video data;
communicating, by the first video encoder, the video data and metadata that defines at least the motion vectors to a second video encoder;
generating, by the second video encoder, refined motion vectors based on the video data and the motion vectors communicated from the first video encoder;
encoding, by the second video encoder, the video data based on the refined motion vectors.
2 . The method according to claim 1 , wherein the received video data is non-temporally compressed.
3 . The method according to claim 1 , further comprising performing at least one operation from the group of operations consisting of: noise reduction, de-interlacing, resizing, cropping, filter, and frame dropping, on the video data prior to generation of the motion vectors by the first video encoder.
4 . The method according to claim 1 , wherein the metadata further defines a frame type associated with the motion vectors.
5 . The method according to claim 4 , wherein the motion vectors defined by the metadata correspond to a number of motion vectors that produce a highest similarity between macro-blocks in a current frame and a previous or next reference frame of the video data.
6 . The method according to claim 5 , wherein the metadata further defines a cost for the macro-blocks.
7 . The method according to claim 1 , further comprising:
communicating, by the first video encoder, the video data and metadata that defines at least the motion vectors to a plurality of video encoders;
generating, by the plurality of video encoders, refined motion vectors based on the video data and the motion vectors communicated from the first video encoder;
encoding, by the plurality of video encoders, the video data at a based on the refined motion vectors, wherein each of the plurality of video encoders encodes the video data at a different rate.
8 . A video encoding system for communication of video data over a network, the video encoding system comprising:
a first video encoder configured to:
receive video data that defines frames;
generate motion vectors that characterize motion between frames of the video data;
communicate the video data and metadata that defines at least the motion vectors to a second video encoder;
a second video encoder configured to:
generate refined motion vectors based on the video data and the motion vectors communicated from the first video encoder; and
encode the video data based on the refined motion vectors.
9 . The video encoding system according to claim 8 , wherein the received video data is non-temporally compressed.
10 . The video encoding system according to claim 8 , wherein the first video encoder is further configured to perform at least one operation from the group of operations consisting of: noise reduction, de-interlacing, resizing, cropping, filter, and frame dropping, on the video data prior to generation of the motion vectors by the first video encoder.
11 . The video encoding system according to claim 8 , wherein the metadata further defines a frame type associated with the motion vectors.
12 . The video encoding system according to claim 11 , wherein the motion vectors defined by the metadata correspond to a number of motion vectors that produce a highest similarity between macro-blocks in a current frame and a previous or next reference frame of the video data.
13 . The video encoding system according to claim 12 , wherein the metadata further defines a cost for the macro-blocks.
14 . The video encoding system according to claim 8 , wherein the first video encoder is further configured to:
communicate the video data and metadata that defines at least the motion vectors to a plurality of video encoders, and
wherein the plurality of video encoders are further configured to:
generate refined motion vectors based on the video data and the motion vectors communicated from the first video encoder;
encode the video data at a based on the refined motion vectors, wherein each of the plurality of video encoders encodes the video data at a different rate.
15 . A non-transitory computer readable medium having stored thereon at least one code section for encoding video for communication over a network, the at least one code section being executable by a machine to cause the machine to perform acts of:
receiving video data that defines frames at a first video encoder;
generating motion vectors that characterize motion between frames of the video data;
communicating the video data and metadata that defines at least the motion vectors to a second video encoder;
generating refined motion vectors based on the video data and the motion vectors communicated from the first video encoder;
encoding the video data based on the refined motion vectors.
16 . The non-transitory computer readable medium according to claim 15 , wherein the received video data is non-temporally compressed.
17 . The non-transitory computer readable medium according to claim 15 , wherein the at least one code section is further executable to cause the machine to perform acts of: performing at least one operation from the group of operations consisting of: noise reduction, de-interlacing, resizing, cropping, filter, and frame dropping, on the video data prior to generation of the motion vectors by the first video encoder.
18 . The non-transitory computer readable medium according to claim 15 , wherein the metadata further defines a frame type associated with the motion vectors.
19 . The non-transitory computer readable medium according to claim 18 , wherein the motion vectors defined by the metadata correspond to a number of motion vectors that produce a highest similarity between macro-blocks in a current frame and a previous or next reference frame of the video data.
20 . The non-transitory computer readable medium according to claim 19 , wherein the metadata further defines a cost for the macro-blocks.