Abstract:
A method for servicing a 2 dimension image and a 2 dimension-3 dimension mixed image by inserting a 3 dimension image into a specific field of the 2 dimension image is provided to reproduce a 3 dimension image in only some scenes of a specific event in a 2 dimension moving picture of a digital broadcast, thereby reducing fatigues of eyes. A 2 dimension image is converted to a 3 dimension image on a specific field. Information about a position and size of the specific field is stored. A mask is applied to a left image of the 3 dimension image to be displayed on the specific field of the 2 dimension image. The left image is attached to a reference point position of the specific field. The 2 dimension attached to the 3 dimension image is transmitted or stored through a multiplexing method. The transmitted or stored 2 dimension image is copied and expanded by two times in a cross direction.
Abstract:
The present invention relates to an encoding method and decoding method, and a device using the same. The encoding method according to the present invention comprises the steps of: specifying an intra prediction mode for a current block; and scanning a residual signal by intra prediction of the current block, wherein the step of scanning the residual signal can determine a scanning type for a luminance signal and a chroma signal of the current block according to an intra prediction mode for a luminance sample of the current block.
Abstract:
A texture description method in frequency domains and a texture-based retrieval method using the same, in which image signals are converted into those in a frequency domain of a Polar coordinate system. The texture description method in the frequency domain includes a first step of generating a frequency layout by partitioning the frequency domain into a set of feature channels; a second step of extracting the texture feature values of the image from the respective feature channels; and a third step of constituting a texture descriptor of the image in a vector form using the texture feature values extracted from the respective feature channels of the frequency layout. In a texture-based retrieval described in the frequency domain, a retrieval method capable of satisfying respective or all the retrieval conditions such as scale-, rotation- and intensity-invariant retrieval of relevant texture images is provided. Also, a retrieval method of computing the rough scheme of texture to provide a browsing functionality in retrieving is provided.
Abstract:
Texture-based retrieval where energy values, energy variation values and rotation information of images stored in a database is extracted and stored as a texture descriptor; query texture descriptor including texture feature values and rotation information is extracted; aligning the rotating angle between the query texture descriptor and the texture descriptor according to the rotation information; and determining the similarity between the images dependent on the distance between the two images after aligning the angles between them.
Abstract:
Texture-based retrieval where energy values, energy variation values and rotation information of images stored in a database is extracted and stored as a texture descriptor; query texture descriptor including texture feature values and rotation information is extracted; aligning the rotating angle between the query texture descriptor and the texture descriptor according to the rotation information; and determining the similarity between the images dependent on the distance between the two images after aligning the angles between them.
Abstract:
An apparatus and method for adapting an audio signal is provided. The apparatus adapts the audio signal to a usage environment including user's characteristic, terminal capacity and user's natural environments responsive to user's adaptation request, to thereby provide the user with a high quality of digital contents efficiently.
Abstract:
A texture description method in frequency domains and a texture-based retrieval method using the same, in which image signals are converted into those in a frequency domain of a Polar coordinate system. The texture description method in the frequency domain includes a first step of generating a frequency layout by partitioning the frequency domain into a set of feature channels; a second step of extracting the texture feature values of the image from the respective feature channels; and a third step of constituting a texture descriptor of the image in a vector form using the texture feature values extracted from the respective feature channels of the frequency layout. In a texture-based retrieval described in the frequency domain, a retrieval method capable of satisfying respective or all the retrieval conditions such as scale-, rotation- and intensity-invariant retrieval of relevant texture images is provided. Also, a retrieval method of computing the rough scheme of texture to provide a browsing functionality in retrieving is provided.
Abstract:
The present invention relates to a texture description method in frequency domains and a texture-based retrieval method using the same, in which image signals are converted into those in a frequency domain of Polar coordinate system. The texture description method in the frequency domain comprises: a first step of generating a frequency layout by partitioning the frequency domain into a set of feature channels; a second step of extracting the textu re feature values of the image from the respective feature channels; and a thir d step of constituting a texture descriptor of the image in a vector form usin g the texture feature values extracted from the respective feature channels of the frequency layout. According to the present invention, in a texture-based retrieval described in the frequency domain, a retrieval method capable of satisfying respective or all the retrieval conditions such as scale-, rotati on- and intensity-invariant retrieval of relevant texture images is provided. Also, a retrieval method of computing the rough scheme of texture to provide a browsing functionality in retrieving is provided.
Abstract:
An apparatus for decoding a video signal, comprising: an entropy decoding unit configured to decode information indicating whether 5 a prediction mode of a current block corresponds to an intra prediction or an inter prediction; a prediction mode determination unit configured to determine an intra prediction mode of the current block when the prediction mode of the current block corresponds to the intra prediction; 10 a scanning unit configured to perform a scan for the current block; and an inverse-transform unit configured to perform an inverse-transform for residual signal of the current block using at least one of discrete cosine transform (DCT) or discrete sine transform (DST), wherein the scanning unit is further configured to determine, based on the intra 15 prediction mode of the luma component, a scanning type of the luma component and a chroma component of the current block, and wherein when a size of the current block is 4x4, the inverse transform for the luma component of the current block is performed using only the DST.
Abstract:
Provided are a method and apparatus for encoding and decoding images based on constrained offset compensation and a loop filter. The image decoding apparatus: receives from an encoder a first indicator indicating whether a sequence a picture a frame a slice a coding unit (CU) a prediction unit (PU) and/or a transform unit (TU) supports constrained offset compensation; receives from the encoder a second indicator indicating whether constrained sample adaptive offset (SAO) compensation or an adaptive loop filter (ALF) is applied; receives a parameter from the encoder; and applies the SAO compensation or the ALF to pixels of a restored image on the basis of the second indicator and the parameter.