Abstract: The present disclosure provides methods for the treatment of an acne scar to improve color and/or appearance, and/or reduce depth, affected area, and/or volume of the acne scar. Such methods may comprise comprise administering a composition that comprises tropoelastin to an area of skin having the acne scar and optionally disrupting the fibrotic strands underneath the acne scar and administering the composition underneath the acne scar.

Abstract: The use of the three-dimensional DCT as a key compression technology requires development of an entirely new quantizing mechanism. The embodiment described herein uses a Human Visual Model to develop quantizers based on a combination of descriptive characteristics of the video source, enabling independent derivation of said quantizers in both encoder and decoder sides of the compression and playback process.

Abstract: Pure transform-based technologies, such as the DCT or wavelets, can leverage a mathematical model based on few or one parameters to generate the expected distribution of the transform components' energy, and generate ideal entropy removal configuration data continuously responsive to changes in video behavior. Construction of successive-refinement streams is supported by this technology, permitting response to changing channel conditions. Lossless compression is also supported by this process. The embodiment described herein uses a video correlation model to develop optimal entropy removal tables and optimal transmission sequence based on a combination of descriptive characteristics of the video source, enabling independent derivation of said optimal entropy removal tables and optimal transmission sequence in both encoder and decoder sides of the compression and playback process.

Abstract: Pure transform-based technologies, such as the DCT or wavelets, can leverage a mathematical model based on few or one parameters to generate the expected distribution of the transform components' energy, and generate ideal entropy removal configuration data continuously responsive to changes in video behavior. Construction of successive-refinement streams is supported by this technology, permitting response to changing channel conditions. Lossless compression is also supported by this process. The embodiment described herein uses a video correlation model to develop optimal entropy removal tables and optimal transmission sequence based on a combination of descriptive characteristics of the video source, enabling independent derivation of said optimal entropy removal tables and optimal transmission sequence in both encoder and decoder sides of the compression and playback process.

Abstract: The use of the three-dimensional DCT as a key compression technology requires development of an entirely new quantizing mechanism. The embodiment described herein uses a Human Visual Model to develop quantizers based on a combination of descriptive characteristics of the video source, enabling independent derivation of said quantizers in both encoder and decoder sides of the compression and playback process.

Abstract: Pure transform-based technologies, such as the DCT or wavelets, can leverage a mathematical model based on few or one parameters to generate the expected distribution of the transform components' energy, and generate ideal entropy removal configuration data continuously responsive to changes in video behavior. Construction of successive-refinement streams is supported by this technology, permitting response to changing channel conditions. Lossless compression is also supported by this process. The embodiment described herein uses a video correlation model to develop optimal entropy removal tables and optimal transmission sequence based on a combination of descriptive characteristics of the video source, enabling independent derivation of said optimal entropy removal tables and optimal transmission sequence in both encoder and decoder sides of the compression and playback process.

Abstract: Pure transform-based technologies, such as the DCT or wavelets, can leverage a mathematical model based on few or one parameters to generate the expected distribution of the transform components' energy, and generate ideal entropy removal configuration data continuously responsive to changes in video behavior. Construction of successive-refinement streams is supported by this technology, permitting response to changing channel conditions. Lossless compression is also supported by this process. The embodiment described herein uses a video correlation model to develop optimal entropy removal tables and optimal transmission sequence based on a combination of descriptive characteristics of the video source, enabling independent derivation of said optimal entropy removal tables and optimal transmission sequence in both encoder and decoder sides of the compression and playback process.

Abstract: The resolution, in terms of numbers of pixels in horizontal and vertical directions, and frame rate, in terms of frames per second, of video data are converted by assembling a group of the frames within an input buffer, by applying a direct DCT to data from each line of pixels extending along a scan line and among scan lines, perpendicular to the scan lines, and to a line of pixels extending at each pixel position among the group of frames, and by applying an interpolating inverse DCT to coefficients generated by the direct DCT. Preferably, to prevent the formation of artifacts, the application of the direct DCT to data from a line of pixels is interrupted when a difference in a coordinate data value between adjacent pixels exceeds a threshold limit.

Abstract: A display device displays the effects of variations in the level of an individual parameter within a matrix of transformed parameters of a type which is processed through an inverse transform to form a video signal. A signal representing the single parameter, with other parameters set to zero, is scaled using differing constants to form a left intermediate signal and a right intermediate signal, each of which is processed through an inverse transform to form video data, which is then displayed on a left and right display screen. The images on the two screen are compared by a human user to determine whether there is a difference between the images as viewed through human eyes.