Abstract:
The present invention relates to a method for selecting an appropriate mode when performing a new broadcast, such as a 3D stereo broadcast, a UHDTV broadcast, and a multi-view broadcast, among others, while maintaining compatibility with existing broadcasting channels in an MPEG-2-TS format for transmitting and receiving digital TV, and to a method for recognizing a descriptor. To this end, the present invention suggests providing the descriptor which is related to synthesizing left and right images using the type of stream, existence of the descriptor, and a frame-compatible mode flag.
Abstract:
Disclosed herein are a method and apparatus for encoding/decoding a deep neural network. According to the present disclosure, the method for decoding a deep neural network may include: in a plurality of layers of the deep neural network, entropy decoding quantization information for a current layer; performing dequantization on the current layer; and obtaining a plurality of layers of the deep neural network. At least one of global quantization and local quantization is performed on the current layer.
Abstract:
A method for separating audio sources and an audio system using the same are provided. The method introduces the concept of a residual signal to separate a mixed audio signal into audio sources, and separates an audio signal corresponding to at least two of the audio sources as a residual signal and processes the audio signal separately. Therefore, audio separation performance can be improved. In addition, the method re-separates a separated residual signal and adds the separated residual signals to corresponding audio sources. Therefore, audio sources can be separated more safely.
Abstract:
A method and apparatus for generating/converting a digital hologram is provided. The method for generating the digital hologram includes: clustering points of a 3D object to a plurality of clusters according to a distance to a screen; generating diffraction patterns in a unit of a cluster; and generating a fringe pattern by overlapping the diffraction patterns with one another. Accordingly, calculation complexity can be reduced and thus it is possible to generate a digital hologram at high speed. Since a range/size of a cluster which has a trade-off relationship with an image quality of a digital hologram is adjustable, it is possible to generate a customized flexible digital hologram.
Abstract:
Disclosed herein are a method and apparatus for encoding/decoding a deep learning network. According to an embodiment, the method for decoding a deep learning network may include decoding network header information regarding the deep learning network; decoding layer header information regarding a plurality of layers in the deep learning network; decoding layer data information regarding specific information of the plurality of layers; and obtaining the deep learning network and a plurality of layers in the deep learning network, and the layer header information includes layer distinction information associated with distinguishing the plurality of layers.
Abstract:
The present invention relates to a method for making 3D stereo digital broadcast service compatible in an MPEG-2-TS format which is used for transmitting and receiving digital TV. To this end, suggested is a method for transmitting detailed information which supports both TS-level multiplexing and ES-level multiplexing when left and right compressed bitstreams are multiplexed, when service compatibility is enabled.
Abstract:
The present invention relates to a method for making 3D stereo digital broadcast service compatible in an MPEG-2-TS format which is used for transmitting and receiving digital TV. To this end, suggested is a method for transmitting detailed information which supports both TS-level multiplexing and ES-level multiplexing when left and right compressed bitstreams are multiplexed, when service compatibility is enabled.