309 results about "Hierarchical coding" patented technology

A compression context for a plurality of packets is established with a receiving device. Each of these packets is associated with one or more reliable multicast protocols, such as the Layered Coding Transform (LCT) protocol, the Asynchronous Layered Coding (ALC) protocol, the FLUTE protocol, the MUPPET protocol, and the NACK-Oriented Reliable Multicast (NORM) protocol. Upon establishment of the compression context, a compressed packet is generated for one of the plurality of packets and transmitted to the receiving device. The compressed packet has a reduced number of bits in its header. Upon receipt, the receiving device decompresses the compressed packet based on the compression context.

Visualization techniques are provided for a clustered multidimensional dataset. A data set is visualized by obtaining a clustering of a multidimensional dataset comprising a plurality of entities, wherein the entities are instances of a particular concept and wherein each entity comprises a plurality of features; and generating an icon for at least one of the entities, the icon having a plurality of regions, wherein each region corresponds to one of the features of the at least one entity, and wherein a size of each region is based on a value of the corresponding feature. Each icon can convey statistical measures. A stabilized Voronoi-based icon layout algorithm is optionally employed. Icons can be embedded in a visualization of the multidimensional dataset. A hierarchical encoding scheme can be employed to encode a data cluster into the icon, such as a hierarchy of cluster, feature type and entity.

Layered Video Multicast with Retransmissions (LVMR) is a system for distributing video content using layered coding over the Internet. The two key contributions of the system are (1) improving the quality of reception within each layer by retransmitting lost packets given an upper bound on recovery time and applying an adaptive playback point scheme to help achieve more successful retransmission, and (2) adapting to network congestion and heterogeneity using a hierarchical rate control mechanism. A hierarchical rate control system and method is disclosed for regulating the flow of video information in a network by establishing subnet agents for each subnet, and by establishing intermediate agents for each domain. The subnet agents gather information concerning add-layer experiments conducted by receivers in a subnet, and the information is provided to intermediate agents of the domains for regulating data traffic.

In a picture coding apparatus and a picture coding method, when a picture data is hierarchically coded, compression efficiency can be improved, and the deterioration of picture quality can be reduced. When a picture data is hierarchically coded by utilizing a recursive hierarchical representation, adaptive division of block is performed corresponding to the characteristic of the picture data and then coding is performed, and thus obtained hierarchical coded data is transmitted, so that the block of the lower hierarchy can be adaptively divided, thereby the information quantity such as a plane portion of picture can be reduced.

A parametric representation of a multi-channel audio signal describes the spatial properties of the audio signal well with compact side information when a coherence information, describing the coherence between a first and a second channel, is derived within a hierarchical encoding process only for channel pairs including a first channel having only information of a left side with respect to a listening position and including a second channel having only information from a right side with respect to a listening position. As within the hierarchical process the multiple audio channels of the audio signal are downmixed iteratively into monophonic channels, one can pick the relevant parameters from an encoding step involving only channel pairs carrying the information needed to describe the spatial properties of the multi-channel audio signal.

An image processing apparatus hierarchically compresses and codes image data by subjecting pixel values of the image data to a discrete wavelet transform, quantization and coding for each of one or a plurality of rectangular regions into which the image data is divided. The image processing apparatus includes a hierarchical coding unit to compress and code the image data in a state where the image data is divided for each hierarchical layer, to obtain compressed codes, and a distributively storing unit to distributively store the compressed codes that are divided for each hierarchical layer by the hierarchical coding unit.

A method for providing access to operation information relating to a digital signal, including providing a digital signal encoded, in accordance with a layered encoding scheme, in a plurality of layers, and extracting operation information from a first layer of encoding within the digital signal, and placing the extracted information in a data section in a second layer of encoding within the digital signal. Related methods and apparatus are also described.

The invention discloses a hierarchical coding and decoding method and the device thereof. In the embodiment of the invention, the hierarchical and coding decoding proposal adopts the steps as following, after an input signal is converted into a MLT (Modulated Lapped Transform) coefficient, according to an auditory perception model, the input signal is divided into a kernel layer signal and an enhancement layer signal, and then an overlapped and packed coding data is obtained; during decoding, according to the auditory perception model, after the weighted calculation is performed to the importance of each sub-band in the enhancement layer, the reverse MLT is performed to the obtained MLT coefficient of the kernel layer and the enhancement layer, and the decoding flow is output. Compared with the prior hierarchical coding decoding art, in the invention, the MLT is performed to the input signal, the weighted calculation is performed to the importance of each sub-band in the enhancement layer according to the auditory perception model, thus, the quality of coding and decoding is enhanced, and the problem that the input signal with high sampling rate can not be effectively processed in the prior art is solved.

A distributed incentive mechanism is provided for peer-to-peer (P2P) streaming networks, such as mesh-pull P2P live streaming networks. Video (or audio) may be encoded into multiple sub-streams such as layered coding and multiple description coding. The system is heterogeneous with peers having different uplink bandwidths. Peers that upload more data (to a peer) receive more substreams (from that peer) and consequently better video quality. Unlike previous approaches in which each peer receives the same video quality no matter how much bandwidth it contributes to the system, differentiated video quality, commensurate with a peer's contribution to other peers, is provided, thereby discouraging free-riders.

To hierarchically encode image data for compression purposes to ensure that a detailed remote editing operation can be performed with high efficiency by making the most of hierarchical encoding.

A main editing machine (FIG. 2) transmits hierarchically encoded data for image formation to a remote editing machine in accordance with an employed network band and a remote editing machines capacity. At the remote editing machine, an editor performs edits by using the hierarchically encoded data. Editing information which is created as a result of editing, is transmitted from the remote editing machine to the main editing machine. The main editing machine transmits difference-representing hierarchically encoded data to the remote editing machine in accordance with the editing information. The remote editing machine generates edited image data by using previously received hierarchically encoded data and the difference-representing hierarchically encoded data transmitted from the main editing machine.

Thanks to hierarchical encoding, the hierarchically encoded data can be minutely hierarchized for elements defining picture quality such as resolution and image quality.

A video signal shuffling device forms a segment with blocks having a given offset value in horizontal and vertical directions from a given starting point uniquely determined on the screen, the offset value being identical in every region. The segment is formed in a unit of one frame or two frames. The shuffling device divides one frame comprising blocks into a plurality of regions. A coding device determines a final priority as well as a final quantizer thereby quantizing a segment and providing the segment with a variable-length-coding based on a first priority, coding-quantity obtained from a plurality of quantizers, second priority and a quantizer. A coding device and its decoder, the coding device carries out a hierarchical coding by only a motion vector in a compressed stream at a lower resolution side and by agreeing a motion detected and a DCT block size with a size on the screen.

Aspects of the subject disclosure may include, for example, a video camera that includes a video capture device configured to produce a high resolution video signal. A video encoder is configured to layered video encode the high resolution video signal to generate a processed video signal, the processed video signal including a plurality of independent video layers, each of the plurality of independent video layers having a different video resolution. Other embodiments are disclosed.

A method, medium, and apparatus hierarchically encoding or decoding an image format. In this method, a basic image is generated by down-sampling an original image. A basic layer bitstream is generated by encoding the basic image. A restoration image of the basic image is generated and up-sampled. Enhancement layer bitstreams are generated by encoding a residue image corresponding to a difference between the original image and the up-sampled restoration image by using different quantization parameters.

The present invention discloses a method for solving open-type long video question and answer by using a hierarchical codec network mechanism, which mainly comprises the following steps: 1) training an adaptive hierarchical coding neural network for a group of video, question and answer training set, segmenting the long video based on a question and video learning adaptive segmentation mechanism,thereby obtaining a joint expression of the video segment and the question; 2) for the output of the coded neural network obtaining the joint expression of the video and the question, combining the idea of reinforcement learning together with a related answer to train a decoding neural network, directed at a natural language answer corresponding to the output of the joint expression of the video and the question. Compared with the general video question and answer solution, the method for solving open-type long video question and answer by using a hierarchical codec network mechanism in the present invention utilizes question-based adaptive layering, which can better lock the segments favorable for answering questions in long videos, can better reflect the characteristics of the video, andutilizes the reinforcement learning mechanism to train the decoder, so that a more powerful decoder can be obtained, and an answer better satisfying the requirement is produced. The effect achieved by the method in the present invention in the long video question and answer questions is better than the traditional method.

A hierarchical data compression system and method for encoding and decoding video data by dividing each video frame of the video data into independent layers. Each of the layers contains a specific frequency band that is less than the entire frequency spectrum contained in the video frame. This impendency allows each layer to be encoded and decoded independently of other layers. Because each layer contains a specific frequency band, any unwanted and extraneous frequencies that arise during encoding that are not present in the original source are automatically removed. In general, the hierarchical data compression method divides video frames into layers, with each layer containing a specific frequency band. The layers then are encoded. Later, the layers are decoded to recover the video frames. The hierarchal data compression system includes a hierarchical encoder and decoder for facilitating independent encoding and decoding of each layer of the divided video frames.