Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Global motion estimation (GME) is a fundamental problem in video compression and has been one of the most complex algorithms in digital video processing. The efficiency of real-time video processing operations has an important impact on the cost and realizability of complex algorithms, such as global motion estimation. Most digital video processing is carried out with a precision of 8 bits per pixel, hover there has always been interest in low-complexity algorithms. One way of achieving low-complexity is through low precision, such as might be achieved by quantization of each pixel to a single bit. Previous approaches to one-bit motion estimation have achieved quantization through a combination of spatial filtering/averaging and threshold setting.   present a generalized framework for precision reduction in video compression. Motivated by this generalized framework,  show that bit-plane selection provides higher performance, with lor complexity, than conventional approaches to quantization.
['Kaiyang Yang', 'Michael R. Frater', 'Elanor H. Huntington', 'Mark R. Pickering', 'John F. Arnold']
I am writing a research paper on a idea Low Precision Global Motion Estimation for Video Compression- A Generalized Framework
[{"from": "human", "value": "I am writing a research paper on a idea Low Precision Global Motion Estimation for Video Compression- A Generalized Framework"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Global motion estimation (GME) is a fundamental problem in video compression and has been one of the most complex algorithms in digital video processing. The efficiency of real-time video processing operations has an important impact on the cost and realizability of complex algorithms, such as global motion estimation. Most digital video processing is carried out with a precision of 8 bits per pixel, hover there has always been interest in low-complexity algorithms. One way of achieving low-complexity is through low precision, such as might be achieved by quantization of each pixel to a single bit. Previous approaches to one-bit motion estimation have achieved quantization through a combination of spatial filtering/averaging and threshold setting.   present a generalized framework for precision reduction in video compression. Motivated by this generalized framework,  show that bit-plane selection provides higher performance, with lor complexity, than conventional approaches to quantization."}]