초록 ▼

The rate controller in a digital video encoding system is responsible for allocating a bit budget for video frames to be encoded. The rate controller considers many different factors when determining the frame bit budget. One of the factors considered is the complexity of the frames being compressed

The rate controller in a digital video encoding system is responsible for allocating a bit budget for video frames to be encoded. The rate controller considers many different factors when determining the frame bit budget. One of the factors considered is the complexity of the frames being compressed. Occasionally there will be a very complex frame that is not representative of the overall video frame sequence. Such a rare complex frame may cause a disproportionate affect on the bit budget allocation. The system of the present invention limits the amount that a very complex frame can change the bit budget allocation. The rate controller of the present invention also includes a relaxation factor. The relaxation factor allows a user to determine if the rate controller should strictly allocate its bit budget or relax its standards such that the rate controller may not be so conservative when allocating bits to frames.

대표청구항 ▼

1. A method of encoding a current video frame in a sequence of video frames, the method comprising: determining a running complexity measure value for the sequence of video frames;determining a complexity measure for the current video frame that quantifies an amount of complexity of the current vide

1. A method of encoding a current video frame in a sequence of video frames, the method comprising: determining a running complexity measure value for the sequence of video frames;determining a complexity measure for the current video frame that quantifies an amount of complexity of the current video frame;computing a difference between the complexity measure for the current video frame and the running complexity measure value;when the difference is larger than a predetermined limit, setting the difference to the predetermined limit;updating the running complexity measure value based on the difference; andat a rate controller, encoding the current video frame using the updated running complexity measure value. 2. The method of claim 1, wherein the predetermined limit is predetermined as a percentage value. 3. The method of claim 1, wherein encoding the current video frame comprises calculating a number of bits to encode the current video frame based on the updated running complexity measure value. 4. The method of claim 1, wherein updating the running complexity measure value comprises applying a first weighting factor to the running complexity measure value and a second weighting factor to the difference between the complexity measure for the current video and the running complexity measure value. 5. The method of claim 1, wherein the complexity measure for the current video frame is determined as a mean of sum of absolute difference values for a plurality of macroblocks of the current video frame. 6. The method of claim 1, wherein determining the running complexity measure value for the sequence of video frames comprises: determining an intra-frame running complexity measure value for a set of intra-frames in the sequence of video frames; anddetermining an inter-frame running complexity measure value for a set of inter-frames in the sequence of video frames. 7. The method of claim 6, wherein updating the running complexity measure value comprises: updating the intra-frame running complexity measure value when the current video frame is an intra-frame; andupdating the inter-frame running complexity measure value when the current video frame is an inter-frame. 8. A non-transitory computer readable medium storing a computer program which when executed by a processor encodes a current video frame in a sequence of video frames, the computer program comprising sets of instructions for: determining a running complexity measure value for the sequence of video frames;determining a complexity measure for the current video frame that quantifies an amount of complexity of the current video frame;computing a difference between the complexity measure for the current video frame and the running complexity measure value;setting, when the difference is larger than a predetermined limit, setting the difference to the predetermined limit;updating the running complexity measure value based on the difference; andencoding the current video frame using the updated running complexity measure value. 9. The non-transitory computer readable medium of claim 8, wherein the set of instructions for encoding the current video frame comprises a set of instructions for calculating a number of bits to encode the current video frame based on the updated running complexity measure value. 10. The non-transitory computer readable medium of claim 8, wherein the set of instructions for updating the running complexity measure value comprises a set of instructions for applying a first weighting factor to the running complexity measure value and a second weighting factor to the difference between the complexity measure for the current video and the running complexity measure value. 11. The non-transitory computer readable medium of claim 8, wherein the set of instructions for determining the running complexity measure value for the sequence of video frames comprises sets of instructions for: determining an intra-frame running complexity measure value for a set of intra-frames in the sequence of video frames; anddetermining an inter-frame running complexity measure value for a set of inter-frames in the sequence of video frames. 12. The non-transitory computer readable medium of claim 11, wherein the set of instructions for updating the running complexity measure value comprises sets of instructions for: updating the intra-frame running complexity measure value when the current video frame is an intra-frame; andupdating the inter-frame running complexity measure value when the current video frame is an inter-frame. 13. A method of tracking digital video information complexity, the method comprising: determining a complexity measure for a current digital video picture, the complexity measure for the picture accounting for a plurality of macroblocks in the picture;combining the complexity measure for the current digital video picture to a running average complexity measure for a series of digital video pictures, the combining comprising applying a first weighting factor to the complexity measure for the current digital video picture and a second weighting factor to the running average complexity measure for the series of digital video pictures; andat a rate controller, encoding the digital video information utilizing the running average complexity measure. 14. The method of claim 13, wherein the running average complexity measure is not allowed to change by more than a predetermined percentage. 15. The method of claim 13, wherein the running average complexity meausure is processed by a non-linear smoothing filter. 16. The method of claim 13 further comprising determining a value for the current digital video picture that represents a deviation between the current digital video picture and an average digital video picture in terms of bits needed to encode the current digital video picture for a particular desired visual quality, wherein encoding the digital video information comprises using the determined value for the current digital video picture. 17. The method of claim 16, wherein the value for the current digital video picture is determined based on the complexity measure for the current digital video picture and the combined running average complexity meausure. 18. The method of claim 13, wherein the complexity measure for the current digital video picture is determined as a mean of sum of absolute difference values for the plurality of macroblocks of the current digital video picture. 19. The method of claim 13, wherein applying a first weighting factor to the complexity measure for the current digital video picture and a second weighting factor to the running average complexity measure for the series of digital video pictures comprises applying a first weighting factor that is larger than the second weighting factor. 20. A non-transitory computer-readable medium storing a computer program which when executed by a processor tracks digital video information complexity, the computer program comprising sets of instructions for: determining a complexity measure for a current digital video picture, the complexity measure for the picture accounting for a plurality of macroblocks in the picture;combining the complexity measure for the current digital video picture to a running average complexity measure for a series of digital video pictures, wherein the set of instructions for combining comprises a set of instructions for applying a first weighting factor to the complexity measure for the current digital video picture and a second weighting factor to the running average complexity measure for the series of digital video pictures; andencoding the digital video information utilizing the running average complexity measure. 21. The non-transitory computer-readable medium of claim 20, wherein the running average complexity measure is not allowed to change by more than a predetermined percentage. 22. The non-transitory computer-readable medium of claim 20, the computer program further comprising a set of instructions for determining a value for the current digital video picture that represents a deviation between the current digital video picture and an average digital video picture in terms of bits needed to encode the current digital video picture for a particular desired visual quality, wherein the set of instructions for encoding the digital video information comprises a set of instructions for using the determined value for the current digital video picture. 23. The non-transitory computer-readable medium of claim 22, wherein the value for the current digital video picture is determined based on the complexity measure for the current digital video picture and the combined running average complexity measure.