Abstract:
PROBLEM TO BE SOLVED: To more accurately describe the texture of a video by describing the texture descriptor of the video through the use of a feature value extracted from the respective frequency domains of frequency domain division layouts in the form of a feature vector. SOLUTION: When an arbitrary video is inputted, the inputted video is Randon-transformed. The obtained set of primary Randon transform functions is Fourier-transformed. When a video function is Randon-transformed and is Fourier-transformed, it is moved to a pole coordinate frequency domain and a video signal is transformed into a pole coordinate frequency domain. The texture feature of the video is extracted from the pole coordinate frequency domain having a prescribed frequency sampling structure. A pole coordinate system frequency domain division layout is used. In the pole coordinate system frequency domain division layout, a frequency domain is divided by a human sight recognition system. The texture descriptor of the video, which describes the texture of the video, namely, a feature vector is calculated form the feature value.
Abstract:
Provided is a method and apparatus for generating and consuming sensory effect media. The method for generating sensory effect media includes receiving sensory effect information about sensory effects that are applied to media, and generating sensory effect metadata including the received sensory effect information.
Abstract:
An apparatus and method for transmitting MPEG-4 data synchronized to MPEG-2 data is disclosed. The apparatus for transmitting MPEG-4 data synchronized to MPEG-2 data includes: an object separation unit for extracting MPEG-4 object data from MP4 data, separating meta information from the object data, and generating program information and synchronization information; a conversion unit for converting the MPEG-4 object data to MPEG-4 packets of which data structure is the same as that of MPEG-2 data, based on the program information and synchronization information; and a multiplexing unit for multiplexing the MPEG-4 packets with the MPEG-2 data.
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:
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:
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 (Figure 4). The texture description method in the frequency domain comprises: a first step of generating a frequency layout (515) 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 (512-514); and a third step of constituting a texture descriptor of the image in a vector form (516) using 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-, 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:
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 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. 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-, 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:
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.