Abstract:
A system and method of content adaptive pixel intensity processing are described. The method includes receiving a predefined set of processed video data configured from the processed video data, deriving a range information associated with an original maximum value and an original minimum value for a predefined set of original video data, wherein the predefined set of processed video data is derived from the predefined set of original video data, and adaptively clipping pixel intensity of the predefined set of processed video data to a range deriving from the range information, wherein the range information is incorporated in a bitstream and represented in a form of the original maximum value and the original minimum value, prediction values associated with a reference maximum value and a reference minimum value, or a range index associated with a predefined range set.
Abstract:
An apparatus for recording physiological signal is provided. The apparatus includes a storage unit, a signal analyzer, and a controller. The storage unit is configured for storing a physiological signal of a user during a time interval. The signal analyzer is configured for analyzing the physiological signal of the user to provide an analysis result. The controller is configured for changing the time interval according to the analysis result.
Abstract:
A method and apparatus for sample adaptive offset (SAO) compensation of reconstructed video data are disclosed. In one embodiment, the relation between the current pixel and said one or more neighboring pixels is stored so that the SAO compensated current pixel can replace the current pixel without buffering the to-be-processed pixels for classification. The SAO process may be performed on a region by region basis to adapt to the local characteristics of the picture.
Abstract:
A method and apparatus for scalable video coding are disclosed, wherein the video data is configured into a Base Layer (BL) and an Enhancement Layer (EL) and wherein the EL has higher spatial resolution or better video quality than the BL. According to embodiments of the present invention, information from the base layer is exploited for coding the enhancement layer. The information coding for the enhancement layer includes CU structure, motion information, motion information, MVP/merge candidates, intra prediction mode, residual quadtree information, texture information, residual information, context adaptive entropy coding, Adaptive Lop Filter (ALF), Sample Adaptive Offset (SAO), and deblocking filter.
Abstract:
A system and method of content adaptive pixel intensity processing are described. The method includes receiving a predefined set of processed video data configured from the processed video data, deriving a range information associated with an original maximum value and an original minimum value for a predefined set of original video data, wherein the predefined set of processed video data is derived from the predefined set of original video data, and adaptively clipping pixel intensity of the predefined set of processed video data to a range deriving from the range information, wherein the range information is incorporated in a bitstream and represented in a form of the original maximum value and the original minimum value, prediction values associated with a reference maximum value and a reference minimum value, or a range index associated with a predefined range set.
Abstract:
Implementations of sample adaptive offset (SAO) processing a reconstructed picture in an image or video coding system are described. In one example implementation, a method may receive input data associated with the reconstructed picture. The method may also perform multiple stages of SAO filtering operations on a SAO processing unit of at least a portion of the reconstructed picture. Information related to a SAO parameter set that signals one or more SAO types, one or more SAO subtypes, one or more SAO offset values, or a combination thereof, used by the multiple stages of SAO filtering operations are encoded or decoded.
Abstract:
A method and apparatus for 3D video coding system are disclosed. Embodiments according to the present invention apply SAO process (sample adaptive offset process) to at least one dependent-view image of the processed multi-view images if processed multi-view images are received. Also embodiments according to the present invention apply the SAO process to at least one dependent-view image of the processed multi-view images or at least one depth map of the processed multi-view depth maps if both processed multi-view images and the processed multi-view depth maps are received. The SAO can be applied to each color component of the processed multi-view images or the processed multi-view depth maps. The SAO parameters associated with a target region in one dependent-view image or in one depth map corresponding to one view may share or may be predicted by second SAO parameters associated with a source region corresponding to another view.
Abstract:
A method and apparatus for sharing information in a video decoding system are disclosed. The method derives reconstructed data for a picture from a bitstream, where the picture is partitioned into multiple slices. An information-sharing flag is parsed from the bitstream associated with a current reconstructed slice. If the information-sharing flag indicates information sharing, shared information is determined from a part of the bitstream not corresponding to the current reconstructed slice, and in-loop filtering process is applied to the current reconstructed slice according to the shared information. If the information-sharing flag indicates filter no information sharing, individual information is determined from a part of the bitstream corresponding to the current reconstructed slice, and in-loop filtering process is applied to the current reconstructed slice according to the individual information. A method for a corresponding encoder is also disclosed.
Abstract:
A method and apparatus for sharing information in a video decoding system are disclosed. The method derives reconstructed data for a picture from a bitstream, where the picture is partitioned into multiple slices. An information-sharing flag is parsed from the bitstream associated with a current reconstructed slice. If the information-sharing flag indicates information sharing, shared information is determined from a part of the bitstream not corresponding to the current reconstructed slice, and in-loop filtering process is applied to the current reconstructed slice according to the shared information. If the information-sharing flag indicates filter no information sharing, individual information is determined from a part of the bitstream corresponding to the current reconstructed slice, and in-loop filtering process is applied to the current reconstructed slice according to the individual information. A method for a corresponding encoder is also disclosed.
Abstract:
A method and apparatus for inter-layer prediction for scalable video coding are disclosed. Embodiments of the present invention utilize weighted prediction for scalable coding. The weighted prediction is based on the predicted texture data and the inter-layer Intra prediction data derived from BL reconstructed data. The inter-layer Intra prediction data corresponds to the BL reconstructed data or up-sampled BL reconstructed data. The predicted texture data corresponds to spatial Intra prediction data or motion-compensated prediction data based on the second EL video data in the same layer as the current EL picture. Embodiments of the present invention also utilize the reference picture list including an inter-layer reference picture (ILRP) corresponding to BL reconstructed texture frame or up-sampled BL reconstructed texture frame for Inter prediction of EL video data. The motion vector is limited to a range around (0,0) when the ILRP is selected as a reference picture.