Methods and devices for coding and decoding the position of the last significant coefficient
View Patent ↗Methods and devices are described for entropy coding data using an entropy coder to encode quantized transform domain coefficient data. Last significant coefficient information is signaled in the bitstream using two-dimensional coordinates for the last significant coefficient. The context for bins of one of the coordinates is based, in part, upon the value of the other of the coordinates. In one case, instead of signaling last significant coefficient information, the number of non-zero coefficients is binarized and entropy encoded.
1. A method for encoding quantized transform domain coefficient data including last significant coefficient information, the method comprising:
binarizing, with a processor, each of two positions of two-dimensional coordinates of the last significant coefficient;
determining, with the processor, a context for each bin of one of the positions;
determining, with the processor, a context for each bin of the other of the positions, wherein the context of each bin of the other of the positions is based, in part, upon said one of the positions; and
entropy encoding the binarized positions based upon the context determined for each of the bins of the binarized positions to produce encoded data.
2. The method claimed in claim 1 , wherein binarizing comprises encoding each of the two positions as a fixed length binary code.
3. The method claimed in claim 1 , wherein determining a context for each bin of the other of the positions includes calculating a context index that specifies the determined context, and wherein the context index is calculated based upon said one of the positions, a transform block size, and previous bins in the other of the positions, if any.
4. The method claimed in claim 1 , wherein the two positions comprise an x-position and a y-position within a block.
5. The method claimed in claim 1 , wherein determining a context for each bin of the other of the positions includes calculating a context index that specifies the determined context, wherein the context index is based upon a binary logarithm of said one of the positions.
6. The method claimed in claim 1 , further comprising:
determining that the two-dimensional coordinates are not [0,0] before performing said binarizing, determining the context for each bin of each position, and entropy encoding.
7. The method claimed in claim 1 , further comprising counting a number of non-zero coefficients in the quantized transform domain coefficient data and determining that the number meets or exceeds a threshold before said binarizing, said determining a context for each bin of one of the positions and said determining a context for each bin of the other of the positions.
8. An encoder for encoding quantized transform domain coefficient data, the encoder comprising:
a processor;
a memory; and
an encoding application stored in memory and containing instructions for configuring the processor to
binarize each of two positions of two-dimensional coordinates of the last significant coefficient;
determine a context for each bin of one of the positions;
determine a context for each bin of the other of the positions, wherein the context of each bin of the other of the positions is based, in part, upon said one of the positions; and
entropy encode the binarized positions based upon the context determined for each of the bins of the binarized positions to produce encoded data.
9. The encoder claimed in claim 8 , wherein the processor is configured to binarize by encoding each of the two positions as a fixed length binary code.
10. The encoder claimed in claim 8 , wherein the processor is configured to determining a context for each bin of the other of the positions by calculating a context index that specifies the determined context, and wherein the context index is calculated based upon said one of the positions, a transform block size, and previous bins in the other of the positions, if any.
11. The encoder claimed in claim 8 , wherein the two positions comprise an x-position and a y-position within a block.
12. The encoder claimed in claim 8 , wherein the processor is configured to determine a context for each bin of the other of the positions by calculating a context index that specifies the determined context, wherein the context index is based upon a binary logarithm of said one of the positions.
13. The encoder claimed in claim 8 , wherein the processor is configured to determine that the two-dimensional coordinates are not [0,0] before performing said binarizing, determining the context for each bin of each position, and entropy encoding.
14. The encoder claimed in claim 8 , wherein the processor is configured to count a number of non-zero coefficients in the quantized transform domain coefficient data and determine that the number meets or exceeds a threshold before said binarizing, said determining a context for each bin of one of the positions and said determining a context for each bin of the other of the positions.
15. A method for decoding a bitstream of encoded data to reconstruct quantized transform domain coefficient data, the method comprising:
entropy decoding, with a processor, a portion of the encoded data to produce two binarized positions defining two-dimensional coordinates of a last significant coefficient, wherein entropy decoding the portion of the data includes
determining a context for each bin of one of the positions, and
determining a context for each bin of the other of the positions, wherein the context of each bin of the other of the positions is based, in part, upon said one of the positions;
entropy decoding, with the processor, a significant coefficient sequence based upon the two-dimensional coordinates of the last significant coefficient;
entropy decoding, with the processor, level information based upon the significant coefficient sequence; and
reconstructing, with the processor, the quantized transform domain coefficient data using the level information and the significant coefficient sequence.
16. The method claimed in claim 15 , wherein the two binarized positions each comprise a fixed-length binary code.
17. The method claimed in claim 15 , wherein entropy decoding the significant coefficient sequence includes converting the two-dimensional coordinates of the last significant coefficient to a one-dimensional index indicating the end of the significant coefficient sequence.
18. The method claimed in claim 15 , wherein determining a context for each bin of the other of the positions includes calculating a context index that specifies the determined context, and wherein the context index is calculated based upon said one of the positions, a transform block size, and previous bins in said other of the positions, if any.
19. The method claimed in claim 15 , wherein the two positions comprises an x-position and a y-position within a block.
20. The method claimed in claim 15 , wherein determining a context for each bin of the other of the positions includes calculating a context index that specifies the determined context, wherein the context index is based upon a binary logarithm of said one of the positions.
21. The method claimed in claim 15 , further comprising entropy decoding a zero flag and determining from the zero flag that the two-dimensional coordinate position is not [0,0] before decoding said portion.
22. The method claimed in claim 15 , further comprising entropy decoding a non-zero coefficient flag and, based on the value of the non-zero coefficient flag, performing said entropy decoding a portion.
23. A decoder for decoding a bitstream of encoded data to reconstruct a sequence of symbols, the symbols belonging to a finite alphabet, the decoder comprising:
a processor;
a memory; and
a decoding application stored in memory and containing instructions for configuring the processor to
entropy decode a portion of the encoded data to produce two binarized positions defining two-dimensional coordinates of a last significant coefficient, wherein entropy decoding the portion of the data includes
determining a context for each bin of one of the positions, and
determining a context for each bin of the other of the positions, wherein the context of each bin of the other of the positions is based, in part, upon said one of the positions;
entropy decode a significant coefficient sequence based upon the two-dimensional coordinates of the last significant coefficient;
entropy decode level information based upon the significant coefficient sequence; and
reconstruct the quantized transform domain coefficient data using the level information and the significant coefficient sequence.
24. The decoder claimed in claim 23 , wherein the two binarized positions each comprise a fixed-length binary code.
25. The decoder claimed in claim 23 , wherein the processor is configured to entropy decode the significant coefficient sequence by converting the two-dimensional coordinates of the last significant coefficient to a one-dimensional index indicating the end of the significant coefficient sequence.
26. The decoder claimed in claim 23 , wherein the processor is configured to determine a context for each bin of the other of the positions by calculating a context index that specifies the determined context, and wherein the context index is calculated based upon said one of the positions, a transform block size, and previous bins in said other of the positions, if any.
27. The decoder claimed in claim 23 , wherein the two positions comprises an x-position and a y-position within a block.
28. The decoder claimed in claim 23 , wherein the processor is configured to determine a context for each bin of the other of the positions by calculating a context index that specifies the determined context, wherein the context index is based upon a binary logarithm of said one of the positions.
29. The decoder claimed in claim 23 , wherein the processor is configured to entropy decode a zero flag and determining from the zero flag that the two-dimensional coordinate position is not [0,0] before decoding said portion.
30. The decoder claimed in claim 23 , wherein the processor is configured to entropy decode a non-zero coefficient flag and, based on the value of the non-zero coefficient flag, performing said entropy decoding a portion.
31. A non-transitory computer-readable medium having stored thereon computer-executable instructions which, when executed by a processor, configure the processor to execute the method claimed in claim 1 .