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 information processing apparatus controlling processing for splicing first and second compressed image data at an editing point includes acquiring means for acquiring the code amounts of the first compressed image data near the start point and the second compressed image data near the end point of a first range around the editing point; analyzing means for analyzing, in accordance with the code amounts, a first locus of virtual buffer occupancies when the virtual buffer occupancy at the start point is minimum and a second locus of virtual buffer occupancies when the virtual buffer occupancy of a picture next to the end point is maximum; and determining means for determining, in accordance with the first locus and the second locus, an upper limit and a lower limit of the virtual buffer occupancy at the start point and the end point, respectively, when the first range is re-encoded.

Abstract: A method of processing a coded data stream of a current image on a receiving device, the data stream being organized into packets, comprises a step of detecting a lost packet. It further comprises: a step of estimating, prior to the decoding of the current image, an importance criterion of the lost packet, the importance criterion being determined from at least one decoded preceding image; and a step of requesting retransmission of the lost packet depending on said estimated importance criterion. Use in particular for improving the transmission of a video.

Abstract: The present invention relates to a polarized stereoscopic display method and a device thereof. In one embodiment, the device comprises a first signal processing part for signal processing the first image and producing a first input image that is input to a first projector so that a first output beam output from the first projector corresponding to the first image is output from the first projector with a 90 degree phase difference with respect to a second output beam outputted from the second projector corresponding to the second image. The first signal processing part may comprise an image rotating part for rotating an inputted image by 90 degree, a resizing part combined with an output terminal of the image rotating part for resizing the image rotated by 90 degree corresponding to a screen and output it to the first projector.

Abstract: A combing artifacts detection apparatus includes a feature-value calculating unit that calculates a feature value from an input image; a film-mode detecting unit that detects a film mode by using the feature value; and a pixel-difference calculating unit that calculates a pixel difference between fields by using 2:3 pulldown sequence detection information and input-image combination information that are results of the film mode detection. The apparatus also includes a luminance-variation determining unit that determines luminance variation based on a calculation result of the pixel-difference calculating unit; a combing artifacts-candidate detecting unit that detects a combing artifacts candidate per line based on a determination result of the luminance-variation determining unit; and a combing artifacts determining unit that determines whether a combing artifacts occurs for each image based on a detection result of the combing artifacts-candidate detecting unit.

Abstract: The moving picture decoding device receives a moving picture bit stream compressed according to a coding method using interframe prediction and 2-dimensional discrete cosine transform. The device generates a decoded picture in a block unit from an interframe prediction picture generated by decoding the bit stream and a prediction residual generated by performing the 2-dimensional discrete cosine transform and integerization processing on a discrete cosine transform coefficient. The device judges, block-by-block, whether it is highly probable that the prediction residual of “0” is obtained by the processing of the 2-dimensional discrete cosine transform and integerization executed by the encoding device when compressing the bit stream. If YES, the interframe prediction picture is selected and outputted. Otherwise, the prediction residual generated by the decoding device is added to the interframe prediction picture so as to obtain a picture, which is selected and outputted.

Abstract: A video encoding apparatus used in encoding of a multi-viewpoint image. The apparatus generates a synthetic image for a camera used for obtaining an encoding target image, by using an already-encoded reference camera image having a viewpoint different from the viewpoint of the camera used for obtaining the encoding target image, and disparity information between the reference camera image and the encoding target image, thereby encoding the encoding target image. A predicted image for a differential image between an input image of an encoding target area to be encoded and the synthetic image generated therefor is generated, and a predicted image for the encoding target area, which is represented by the sum of the predicted differential image and the synthetic image for the encoding target area, is generated. A prediction residual represented by a difference between the predicted image for the encoding target area and the encoding target image of the encoding target area is encoded.

Abstract: Provided is a method and apparatus for image intraprediction encoding/decoding. The method for image intraprediction encoding includes an intraprediction unit which divides an input block into at least one first sub-block of a predetermined size, and performing intraprediction encoding on the at least one first sub-block according to a first sub-block processing order using pixel values of at least adjacent sub-blocks located to the right of and/or below the at least one first sub-block.

Abstract: An image display system, an image display method, a coding method, and a printed matter for stereoscopic viewing are disclosed. The image display system includes a real image presentation unit for showing a first view image of the stereoscopic image as a real image, and a virtual image presentation unit for showing a second view image of the stereoscopic image as a virtual image, the second view image being based on the first view image. When the first view image is viewed by one eye of a viewing person, and the second view image is viewed by the other eye of the viewing person, the first view image and second view image together form the stereoscopic image.

Abstract: At least one picture is shown on a plurality of displays according to the distance from a user to an object. Picture signals are classified based on depth values of pictures, a plurality of displays are chosen based on the classification, and the pictures are shown on the chosen displays in the form of moving pictures.

Abstract: The minimum Sum of Absolute Differences obtained by a motion vector search roughly judges the magnitude of quantization error by whether or not exceeding a predetermined threshold value. When the quantization error is lower, whether or not visually noticeable noise exists in some of the pixels of the current macroblock is judged based on the amount of flatness and noise detected in each of the 4x4 pixel blocks of the current macroblock partitioned into 16 sub-macroblocks. If there is visually noticeable noise, intra-frame coding is selected. When the quantization error is higher, whether or not visually noticeable noise exists in the current macroblock is judged while considering the magnitude of the motion vector. If there is visually noticeable noise, intra-frame coding is selected.