A new techinque for color based image retrieval is proposed. In this technique, the whole spectrum of a color image is divided into several sub ranges according to human visual characteristics. Then for each sub ra...A new techinque for color based image retrieval is proposed. In this technique, the whole spectrum of a color image is divided into several sub ranges according to human visual characteristics. Then for each sub range, the cumulative histogram is used for similarity matching. It is shown that the color contents of image can be well captured by the sub range cumulative histogram. The new technique has been tested and compared with conventional techniques with the help of a database of 400 images of real flowers, which are quite complicated in color contents. Some satisfactory retrieval results are presented.展开更多
The basic search algorithm to implement Motion Estimation ( ME ) in the H .263 encoder is a full search. It is simple but time consuming. Traditional search algorithms are fast, but may cause a fall in image qua...The basic search algorithm to implement Motion Estimation ( ME ) in the H .263 encoder is a full search. It is simple but time consuming. Traditional search algorithms are fast, but may cause a fall in image quality or an increase in bit rate in low bit rate applications. A fast search algorithm for ME with consideration on image content is proposed in this paper. Experiments show that the proposed algorithm can offer up to 70 percent savings in execution time with almost no sacrifice in PSNR and bit rate, compared with the full search.展开更多
文摘A new techinque for color based image retrieval is proposed. In this technique, the whole spectrum of a color image is divided into several sub ranges according to human visual characteristics. Then for each sub range, the cumulative histogram is used for similarity matching. It is shown that the color contents of image can be well captured by the sub range cumulative histogram. The new technique has been tested and compared with conventional techniques with the help of a database of 400 images of real flowers, which are quite complicated in color contents. Some satisfactory retrieval results are presented.
文摘The basic search algorithm to implement Motion Estimation ( ME ) in the H .263 encoder is a full search. It is simple but time consuming. Traditional search algorithms are fast, but may cause a fall in image quality or an increase in bit rate in low bit rate applications. A fast search algorithm for ME with consideration on image content is proposed in this paper. Experiments show that the proposed algorithm can offer up to 70 percent savings in execution time with almost no sacrifice in PSNR and bit rate, compared with the full search.
