Agency for Science, Technology and Research

Nanyang Technological University

Xiao Lin

Susanto Rahardja

Rongshan Yu

Zhengguo Li

Keng Pang Lim

Haibin Huang

Feng Pan

Weisi Lin

Zhongkang Lu

Ee Ping Ong

Susu Yao

Dajun Wu

Xiaokang Yang

Wee Boon Choo

Si Wu

Ce Zhu

Lap Pui Chau

Dong-Yan Huang

A method for encoding a digital signal into a scalable bitstream comprising quantizing the digital signal, and encoding the quantized signal to form a core-layer bitstream, performing an error mapping based on the digital signal and the core-layer bitstream to remove information that has been encoded into the core-layer bitstream, resulting in an error signal, bit-plane coding the error signal based on perceptual information of the digital signal, resulting in an enhancement-layer bitstream, wherein the perceptual information of the digital signal is determined using a perceptual model, and multiplexing the core-layer bitstream and the enhancement-layer bitstream, thereby generating the scalable bitstream. A method for decoding a scalable bitstream into a digital signal comprising de-multiplexing the scalable bitstream into a core-layer bitstream and an enhancement-layer bitstream, decoding and de-quantizing the core-layer bitstream to generate a core-layer signal, bit-plane decoding the enhancement-layer bitstream based on perceptual information of the digital signal, and performing an error mapping based on the bit-plane decoded enhancement-layer bitstream and the de-quantized core-layer signal, resulting in an reconstructed transformed signal, wherein the reconstructed transformed signal is the digital signal.

Method for encoding a digital signal into a scalable bitstream; method for decoding a scalable bitstream

A scalable coder having a grid motion estimation and compensation module (), a motion compensation temporal filtering module (), a scalable coding module (), a discrete transformation module (), and a packetization module (). The grid-motion estimation and compensation module () outputs a scalable motion vector from the source video data, supplied resolution and bit rate parameters. The motion compensation temporal filtering module () generates, from the source video data and the scalable motion vector, a residual image corresponding to the difference between the present and previous image frames. The scalable coding module () is coupled to receive and encode the scalable motion vector. The discrete transformation module () is configured to receive and domain transform the supplied video to a sequence of coefficients. The packetization module is coupled to the scalable coding module () and the discrete transformation module (), and is operable to combine the encoded scalable motion vector and the sequence of coefficients into a packet.

Scalable video coding with grid motion estimation and compensation

A Method for encoding a picture with a first region and a second region is described wherein the first region is encoded according to a first encoding scheme, the second region is encoded according to a second encoding scheme and the second encoding scheme is carried out taking a parameter representing the visual perception of the second region into account.

Method for encoding a picture, computer program product and encoder

A method for performing a domain transformation of a digital signal from the time domain into the frequency domain and vice versa, the method including performing the transformation by a transforming element, the transformation element comprising a plurality of lifting stages, wherein the transformation corresponds to a transformation matrix and wherein at least one lifting stage of the plurality of lifting stages comprises at least one auxiliary transformation matrix and a rounding unit, the auxiliary transformation matrix comprising the transformation matrix itself or the corresponding transformation matrix of lower dimension. The method further comprising performing a rounding operation of the signal by the rounding unit after the transformation by the auxiliary transformation matrix.

Method for performing a domain transformation of a digital signal from the time domain into the frequency domain and vice versa

A method for transforming a digital signal from the time domain into the frequency domain and vice versa using a transformation function comprising a transformation matrix, the digital signal comprising data symbols which are grouped into a plurality of blocks, each block comprising a predefined number of the data symbols. The method includes the process of transforming two blocks of the digital signal by one transforming element, wherein the transforming element corresponds to a block-diagonal matrix comprising two sub matrices, wherein each sub-matrix comprises the transformation matrix and the transforming element comprises a plurality of lifting stages and wherein each lifting stage comprises the processing of blocks of the digital signal by an auxiliary transformation and by a rounding unit.

Method for transforming a digital signal from the time domain into the frequency domain and vice versa

A method for inter-mode prediction in video coding, the method comprising checking a data block of an image for zero motion; computing frame difference of the data block based on the checking for zero motion; and making an inter-mode prediction selection based on the computed frame difference.

Mode decision for inter prediction in video coding

Systems and methods for scalably encoding and decoding coded data are presented. One exemplary method for scalably coding data includes classifying, based upon at least one predetermined criteria, each of the plurality of data received as either (i) perceptually relevant data or (ii) perceptually irrelevant data. The perceptually relevant data is scalably coded, and the perceptually irrelevant data is non-scalably coded. Subsequently, the scalably coded perceptually relevant data and the non-scalably coded perceptually irrelevant are combined into a coded data stream for transmission.

Systems and methods for scalably encoding and decoding data

A system for the context-based for the context-based encoding of an input signal includes a domain transform module and a context-based coding module. The domain transform module is operable to convert the input signal into a sequence of transform coefficients c[i]. The context-based coding module includes a bit-plane scanning module, and context modeling module, and a statistical encoding module. The bit-plane scanning module is operable to produce a bit-plane symbol bps [i,bp] for each transform coefficient c[i] and each bit-plane [bp]. The context modeling module is operable to assign one or more context values to each of the received bit plane symbols bps [i,bp]. The statistical coding module is operable to code each of the bit plane symbols bps [i,bp] as a function of one or more of the corresponding context values to produce a context-based encoded symbol stream.

Context-based encoding and decoding of signals

A method for processing bit symbols generated by a data source, in particular a video, still image or audio source, comprising the following steps of constructing a plurality of bit-planes from the data source, each bit-plane comprising a plurality of bit-plane symbols; scanning the bit-plane symbols of each bit-plane to generate a binary string of bit-plane symbols; and encoding the binary string of the bit-plane symbols using a statistical model, wherein the statistical model is based on statistical properties of a Laplacian probability distribution function which characterizes the data source.

Method and a device for processing bit symbols generated by a data source; a computer readable medium; a computer program element

A block motion estimation method for estimating a motion vector on the basis of a position of a frame block in a current picture compared to a position of said frame block in a reference picture, by determining, at a plurality of search points of said current picture, a variation of the current picture as compared to the reference picture, said search points defining a polygonal search area along the perimeter thereof, said search area including some reference search points and inner search points, the method comprising the following steps: sub-dividing a plurality of n-tuples each n-tuple comprising n of said search points, wherein n is any integer from 1 (normally 2, 3 or more); determining a selected n-tuple of said sub-plurality of n-tuples having the smallest sum of distortions; and comparing the distortion at said central reference search point and at least one inner search point adjacent to the selected n-tuple such as to determine that search point thereof having the smallest distortion which is used in the estimation process

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Singapore, Singapore

Xiao Lin