Abstract:
A method, medium, and apparatus encoding and/or decoding an image in order to increase encoding and decoding efficiency by performing binary-arithmetic coding/decoding on a binary value of a syntax element using a probability model having the same syntax element probability value for respective context index information of each of at least two image components.
Abstract:
An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.
Abstract:
Methods and apparatuses for encoding and decoding an image in which a block is searched for based on a representative value, rather than being searched for on a pixel-by-pixel basis, thereby search speed may be increased and computational complexity of a search operation may be reduced.
Abstract:
An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.
Abstract:
An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.
Abstract:
An encoding method, medium, and system encoding an image, with an image being encoded by generating a plurality of image slices as images of each color component of the image and encoding the image slices in parallel with each other and independently of each other. Accordingly, although an image to be encoded has a large number of color components, the image can be compressed promptly. In addition, a decoding method, medium, and system are also provided decoding an image, with a plurality of encoded image slices being included in a corresponding bitstream, which are images of each color component of the image to be restored, are decoded in parallel with each other and independently of each other so as to restore the image using the decoded image slices. Accordingly, although an image to be decoded has a large number of color components, the image can be restored promptly.
Abstract:
Encoding an image using a non-encoding region of the image, a block-based encoding region of the image, and a pixel-based encoding region of the image.
Abstract:
A method includes: executing an application prepared by an application programming interface (API) of a platform; and establishing a network connection. A first network connection is selected based on a determination that the application specifies a network connection, or a default network connection is selected, based on a determination that the application does not specify a network connection.
Abstract:
An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.
Abstract:
An image coding method and apparatus considering human visual characteristics are provided. The image coding method comprises (a) modeling image quality distribution of an input image in units of scenes such that the quality of an image input in units of scenes is gradually lowered from a region of interest to a background region, (b) determining a quantization parameter of each region constituting one scene according to the result of modeling of image quality distribution, (c) quantizing image data in accordance with the quantization parameter, and (d) coding entropy of the quantized image data.