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.

A device for encoding or decoding video data may clip first residual data based on a bit depth of the first residual data. The device may generate second residual data at least in part by applying an inverse Adaptive Color Transform (IACT) to the first residual data. Furthermore, the device may reconstruct, based on the second residual data, a coding block of a coding unit (CU) of the video data.

An information processing apparatus includes an acquisition unit configured to acquire restriction information about imaging functions from an imaging device connected to a network, a setting control unit configured to display a setting window in which after a parameter for one imaging function is selected, selectable parameters for other imaging functions are restricted in accordance with the selected parameter on the basis of the restriction information so that the imaging functions to be used are selected, and an information processing unit configured to acquire image information about an image captured using the selected imaging functions via the network.

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.

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.

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.

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.

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.

An information processing apparatus includes an acquisition unit configured to acquire restriction information about imaging functions from an imaging device connected to a network, a setting control unit configured to display a setting window in which after a parameter for one imaging function is selected, selectable parameters for other imaging functions are restricted in accordance with the selected parameter on the basis of the restriction information so that the imaging functions to be used are selected, and an information processing unit configured to acquire image information about an image captured using the selected imaging functions via the network.

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.