Methods and systems for masking multimedia data
Several methods and systems for masking multimedia data are disclosed. In an embodiment, a method for masking includes performing a prediction for at least one multimedia data block based on a prediction mode of a plurality of prediction modes. The at least one multimedia data block is associated with a region of interest (ROI). A residual multimedia data associated with the at least one multimedia data block is generated based on the prediction. A quantization of the residual multimedia data is performed based on a quantization parameter (QP) value. The QP value is variable such that varying the QP value controls a degree of masking of the ROI.
1. A method comprising:
receiving, by a processor, a first frame of a video stream;
receiving, by the processor, a second frame of the video stream, wherein the second frame includes a region of interest;
determining, by the processor, a motion vector between the region of interest and the first frame;
determining, by the processor, a selected prediction mode for the region of interest from a plurality of prediction modes, wherein:
the selected prediction mode is based on the motion vector; and
the selected prediction mode is a worst prediction mode of the plurality of prediction modes; and
determining, by the processor, a prediction of the region of interest of the second frame based on the selected prediction mode.
2. The method of claim 1 , wherein:
the first frame includes a set of boundaries; and
the first frame includes padding outside the set of boundaries.
3. The method of claim 2 , wherein: the first frame includes a set of corners located with the padding outside the set of boundaries.
4. The method of claim 3 , wherein: each of the set of corners is gray.
5. The method of claim 3 , wherein: the motion vector points to one of the set of corners.
6. The method of claim 1 , further comprising generating, by the processor, residual data associated with the region of interest based on the prediction.
7. The method of claim 6 , further comprising quantizing, by the processor, the residual data based on a quantization parameter value,
the quantization parameter value being variable such that varying the quantization parameter value controls a degree of masking of the region of interest.
8. A device comprising:
one or more processors; and
a non-transitory computer readable storage medium storing a program for execution by the one or more processors, the program including instructions causing the one or more processors to:
receive a first frame of a video stream;
receive a second frame of the video stream, wherein the second frame includes a region of interest;
determine a motion vector between the region of interest and the first frame;
determine a selected prediction mode for the region of interest from a plurality of prediction modes, wherein:
the selected prediction mode is based on the motion vector; and
the selected prediction mode is a worst prediction mode of the plurality of prediction modes; and
determine a prediction of the region of interest of the second frame based on the selected prediction mode.
9. The device of claim 8 , wherein:
the first frame includes a set of boundaries; and
the first frame includes padding outside the set of boundaries.
10. The device of claim 9 , wherein the first frame includes a set of corners located with the padding outside the set of boundaries.
11. The device of claim 10 , wherein each of the set of corners is gray.
12. The device of claim 10 , wherein the motion vector points to one of the set of corners.
13. The device of claim 8 , wherein the instructions further comprise instructions to generate residual data associated with the region of interest based on the prediction.
14. The device of claim 13 , wherein the instructions further comprise instructions to quantize the residual data based on a quantization parameter value,
the quantization parameter value being variable such that varying the quantization parameter value controls a degree of masking of the region of interest.
15. A system comprising:
a prediction module configured to:
receive a first frame of a video stream and a second frame of the video stream, wherein the second frame includes a region of interest; and
determine a motion vector between the region of interest and the first frame; and
a prediction mode determination module configured to:
determine a selected prediction mode for the region of interest from a plurality of prediction modes, wherein:
the selected prediction mode is based on the motion vector; and
the selected prediction mode is a worst prediction mode of the plurality of prediction modes;
determine a prediction of the region of interest of the second frame based on the selected prediction mode; and
output residual data based on the prediction.
16. The system of claim 15 , wherein:
the first frame includes a set of boundaries; and
the first frame includes padding outside the set of boundaries.
17. The system of claim 16 , wherein the first frame includes a set of corners located with the padding outside the set of boundaries.
18. The system of claim 17 , wherein each of the set of corners is gray.
19. The system of claim 17 , wherein the motion vector points to one of the set of corners.
20. The system of claim 15 , further comprising a quantization module configured to receive the residual data and quantize the residual data, wherein:
the residual data is associated with the region of interest; and
the residual data is quantized based on a quantization parameter value.