Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In the emerging high efficiency video coding (HEVC) standard, a Golomb-Rice code is adopted to bina- rize level information. The Golomb-Rice code is optimal for encoding symbols with the exponential probability distribu- tion. In general, quantized transform coefficients of natural images show the exponential probability distribution. How- ever,screencontentsusuallyhaveatotallydifferentprobabil- itydistribution,andtheGolomb-Rice codeisnotappropriate for screen content coding. ,  focus on a new entropy coding scheme for screen content coding. In the pro- posed scheme,  clip inefficient high magnitude coefficient levels that do not fit the exponential probability distribution. Then,  apply a limited length Golomb-Rice code to bina- rize clipped levels. From experimental results, it is verified that the proposed method achieves on average 0.60% BD- rate saving and up to 1.13% BD-rate saving, compared to HEVC screen content coding. When the proposed method is combined with a ll-known screen content coding tech- nique, transform skipping, it shows up to 24.02% BD-rate saving.
['Jung-Ah Choi', 'Yo-Sung Ho']
I am writing a research paper on a idea Improved entropy coding for quantized transform coefficients in HEVC screen content coding
[{"from": "human", "value": "I am writing a research paper on a idea Improved entropy coding for quantized transform coefficients in HEVC screen content coding"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In the emerging high efficiency video coding (HEVC) standard, a Golomb-Rice code is adopted to bina- rize level information. The Golomb-Rice code is optimal for encoding symbols with the exponential probability distribu- tion. In general, quantized transform coefficients of natural images show the exponential probability distribution. How- ever,screencontentsusuallyhaveatotallydifferentprobabil- itydistribution,andtheGolomb-Rice codeisnotappropriate for screen content coding. ,  focus on a new entropy coding scheme for screen content coding. In the pro- posed scheme,  clip inefficient high magnitude coefficient levels that do not fit the exponential probability distribution. Then,  apply a limited length Golomb-Rice code to bina- rize clipped levels. From experimental results, it is verified that the proposed method achieves on average 0.60% BD- rate saving and up to 1.13% BD-rate saving, compared to HEVC screen content coding. When the proposed method is combined with a ll-known screen content coding tech- nique, transform skipping, it shows up to 24.02% BD-rate saving."}]