18 results about "Lossy coding" patented technology

The invention relates to the technical field of digital audio signal processing, and discloses an audio synchronization multipoint PTS correction method and system, a storage medium and a device, and the method comprises the steps: setting PTS calibration points at a plurality of key nodes on an audio processing link of a master device and a slave device, and carrying out the systematic initialization of an initial PTS value of each calibration point; a clock synchronization mechanism between the master device and the slave device is established, and dynamic calibration of a slave device clock is achieved by periodically interacting time synchronization signals and calculating clock offset; performing multi-stage dynamic adjustment and compensation on the PTS value of the corresponding calibration point according to the network transmission delay fluctuation of the audio frame and the received actual coding duration and time deviation; the filling state and the PTS deviation value of the playing buffer area are monitored in real time, audio output synchronization between the master device and the slave device is maintained through a playing speed fine tuning strategy, optimization is carried out aiming at a lossy coding scene, and the limitation of a traditional single-point synchronization method is effectively solved.

A method and an apparatus for switching between a lossy codec and a lossless codec are provided. The method includes: obtaining a waveform of a previous frame Ti−1, and updating the waveform of the previous frame Ti−1 to an input frame buffer in the lossless codec, where the waveform of the previous frame Ti−1 is encoded by a lossy encoder; performing integer window time domain aliasing cancellation INT winTDAC on a waveform in a lossless encoder buffer to obtain a first transform result, and updating the first transform result to an overlapped buffer in the lossless codec; obtaining a waveform of a current frame Ti, and updating the waveform of the current frame Ti to the input frame buffer; and performing integer modified discrete cosine transform INTMDCT on the waveform in the lossless encoder buffer to obtain a second transform result.

The embodiment of the invention relates to an image encoding apparatus and an image decoding apparatus. An encoded semantically segmented image of an input image is generated based on a semantic segmentation deep neural network (120) and a lossless encoder (130). An encoded coarse image of the input image is generated based on a first lossy encoder (140) and the semantic-based distortion map. An estimated image of the input image is generated based on a semantic segmented image in a fine deep neural network (150), a coarse image, and the semantic-based distortion map. Based on the estimated image, the input image and a second lossy encoder (160) generate an encoded residual image. Furthermore, embodiments of the invention also relate to a first communication device and a second communication device, and also to corresponding methods and computer programs.

The decoder includes circuitry configured to receive a bitstream in which a current frame is identified, wherein the current frame includes a first region and a third region, detect in the bitstream an indication that the first region is encoded according to a lossless encoding protocol, and decode the current frame, wherein decoding the current frame further includes decoding the first region using a lossless decoding protocol corresponding to the lossless encoding protocol.

The invention relates to the technical field of data storage, in particular to a mixed feature-based data packet feature value storage method, which comprises the following steps of: constructing a network flow; extracting features in the network flow, and serializing the features to obtain a decimal code number; constructing a state transition matrix based on a Markov chain for the features and performing splicing to obtain a spliced state transition matrix; and extracting an effective load in the network flow, splicing the decimal coding number, the spliced state transition matrix and the effective load, obtaining and storing the mixed characteristics of the network flow, and completing the storage of the characteristic values of the data packet. According to the method, the problem of effective load information loss can be solved, and information loss caused by a network traffic feature extraction mode of lossy coding is avoided.

The application provides a mass medical image cold data joint compression method, a feature extraction network is used for fine-grained feature extraction on large-scale medical images, a feature database of medical images is established, and the extracted image features are stored according to classification; the feature extraction network is used for the medical image to be compressed, features are extracted and similarity matching is performed; then, based on image brightness, slices of the reference image and the image to be compressed are sorted to optimize the compression order; finally, according to the reference image, lossy coding of the current image is assisted, and according to the original image, lossless coding of the current image is assisted.

The invention discloses an image coding and decoding display method and system, relates to the technical field of electronic information, and can determine an image needing to additionally transmit a quality enhanced data packet by additionally considering the operation logic of a user on a cloud desktop terminal side and the refreshing frequency of the image in a cloud desktop image coding process, thereby ensuring the user experience. According to the specific scheme, a server side encodes a to-be-displayed image in an H264 lossy encoding mode and issues the to-be-displayed image to a cloud desktop terminal to be decoded and displayed. Meanwhile, a time threshold value T is set, and under the condition that the cloud desktop image is not refreshed after the time T, the server side constructs an image quality enhancement data packet of lossless coding and sends the image quality enhancement data packet to the cloud desktop terminal to be decoded and displayed. The server side sets a time threshold T according to the user input quantity uploaded by the cloud desktop terminal, and the larger the user input quantity is, the smaller the T is.

The invention provides an end-to-end voice encryption method and device suitable for a multi-hop lossy channel and a Bluetooth headset, and the method comprises the steps: carrying out the front-end noise reduction, framing and segmentation of collected voice at a transmitting end, automatically selecting a group public key or a point-to-point private key from a pre-configured key set as a main key according to a session mode, and carrying out the end-to-end voice encryption of the multi-hop lossy channel. And performing time sequence scrambling, segment-by-segment fast Fourier transform and sub-key-based frequency domain encryption on a plurality of time domain sub-segments in each frame according to the master key, generating encrypted voice through inverse transformation and overlapped weighted smooth splicing, and transmitting the encrypted voice through a multi-hop voice communication channel containing multi-stage lossy coding and decoding. Framing segmentation, transformation, inverse frequency domain encryption and inverse time domain scrambling which are opposite to the above process are executed at a receiving end, and noise reduction is combined with the U-shaped neural networks at the front end and the rear end to recover the voice to be understandable. According to the invention, flexible key management and high-quality secure voice transmission can be realized in a scene in which a group call and a point-to-point private call coexist and are subjected to lossy compression for multiple times.

An aspect refers to a coder for coding a waveform signal, comprising a zero coder and lossy coder. The zero coder is configured to code the waveform signal using zeroed LSB elimination technique; the lossy coder configured to perform lossy transform coding of a derivative of the waveform signal. Another aspect refers to a hybrid coder configured for lossy coding a signal and lossless coding of the signal, comprising: signal generator or extractor being configured to use codec parameters comprising information concerning the lossy transform coding and information concerning the lossless coding; wherein for the information concerning the lossy transform coding and information concerning the lossless coding the same codebook is used.

This invention discloses a resolution-adaptive point cloud geometric lossy encoding method, computer device, and storage medium based on deep residual compression and sparse representation. The method includes lossy compression of the point cloud data to be processed, obtaining lossy compressed data, performing a multi-round encoding process using an encoding module. In each round of encoding, the encoding module encodes the input data and outputs the corresponding encoded bitstream for that round. All encoded bitstreams are used as the encoding result for the point cloud data to be processed. This invention's resolution-adaptive point cloud geometric lossy encoding method based on deep residual compression and sparse representation possesses a large receptive field and relatively low computational cost. It can compress and reconstruct point clouds, and can aggregate point cloud data of any scale into a single feature point, thereby eliminating the need to encode feature point coordinates while maintaining a large receptive field for the backbone network. This invention has wide applications in the field of graphics processing technology.

The invention discloses a lossless video compression method and system based on a double-layer frame, and aims to solve the problems of low efficiency and poor adaptability of existing lossless video coding. The method comprises the following steps: in a first stage, compressing an original video by adopting a standard lossy encoder to generate a lossy reconstructed frame; in the second stage, the lossy reconstructed frame and the original video frame are arranged in an overlapping mode to form an extended sequence, a lossless encoder is used for residual encoding, the reconstructed frame serves as an I frame, the original frame serves as a P frame, and low-redundancy residual errors are generated through intra-frame / inter-frame prediction. The final code stream is composed of a lossy code stream and a residual lossless code stream, and the lossless code stream and the residual lossless code stream are combined during decoding to realize video lossless reconstruction. According to the method, an overlapping structure and dynamic quantization parameter optimization are innovatively introduced, the compression efficiency is remarkably improved, meanwhile, the method is compatible with standard encoder hardware, and the method is suitable for the fields of medical images, satellite videos and the like with high requirements for data integrity.

The invention discloses a human-computer interaction method, system and device for a robot in a narrow closed space and a medium, and belongs to the technical field of human-computer interaction, and the method comprises the steps: building a space coordinate mapping relation, constructing an environment space coordinate system, and building a mapping function between a grid and a space coordinate based on camera view division; robot motion parameters are obtained in real time, and a motion stability coefficient is calculated; dividing the image into a key region and a background region; carrying out lossless coding on the key area image, carrying out lossy coding on the background area image, and packaging to generate a data packet containing space coordinate information; the ground station receives and analyzes the data packet; when it is detected that the temperature of the background area is abnormal, the background area is automatically expanded into an enhanced area, the data transmission level is improved, and a fused image is generated to update the space mapping relation. In a complex and narrow environment, the identification accuracy and efficiency are improved, the labor cost is reduced, the service life of equipment is prolonged, and meanwhile, the safety and reliability of power grid operation are improved.

A lossless coding mode is proposed in a video coding system comprising a plurality of coding tools, some being lossy by design, some of which can be adapted to become lossless or near lossless. To enable a lossless mode in such system, it is proposed to disable the tools that are lossy by design and use only lossless tools, to adapt some tools to enable lossless coding, and adapt some tools to enable near-lossless coding so that a secondary lossless coding may be applied after residual coding. In some embodiments, a type of residual coding is determined by, when an information indicates that a transform skip residual coding is used, obtaining a flag representative of a special mode, and when this flag is true, determine that regular residual coding must be used instead of the transform skip residual coding that should be used.

The invention relates to a joint enhancement method and system for lossy compression point clouds, and the method comprises the steps: carrying out the lossy coding of point cloud geometry through a G-PCC geometric encoder at a coding end, and transmitting the point cloud geometry to a decoding end; meanwhile, at a coding end, reconstructing point cloud lossy geometry through a G-PCC geometry decoder, and inputting the reconstructed point cloud lossy geometry into PoGE to recover enhanced geometry aligned with an original structure; the PAE performs DA-KNN-based re-coloring on the enhanced geometry by using the original attribute to generate an intermediate attribute; carrying out attribute lossy compression to obtain an attribute code stream and transmitting the attribute code stream to a decoding end; at a decoding end, a G-PCC geometric decoder reconstructs point cloud lossy geometry and inputs the point cloud lossy geometry to PoGE to recover enhanced geometry which is the same as that at a coding end; the G-PCC attribute decoder decodes the color remaking attribute code stream to obtain a reconstructed point cloud; and the PoAE compensates for the high-frequency residual error of the decoding attribute to obtain a geometric and attribute joint enhanced point cloud. The method effectively helps point cloud geometric enhancement.

An encoder includes circuitry configured to receive a video signal and generate an encoded bitstream for decoding by a decoder which identifies, in the bitstream, a current frame, wherein the current frame includes a plurality of regions, detect, in the bitstream, an indication that a first region is encoded according to a lossless encoding protocol and another region is encoded according to a lossy encoding protocol, and decode the current frame, wherein decoding the current frame further comprises decoding the first region using a lossless decoding protocol corresponding to the lossless encoding protocol.

The invention discloses a variable bit rate dynamic point cloud geometric lossy coding and decoding method and device based on feature scaling and a resolution adaptive network, and the method comprises the steps: carrying out the voxelization of a to-be-coded point cloud frame and a reference point cloud frame, and obtaining a to-be-coded point cloud grid and a reference point cloud grid; carrying out lightweight down-sampling based on sparse convolution, and carrying out lossy mapping on the to-be-coded point cloud grid and the reference point cloud grid to a feature space to obtain voxelization features; obtaining a first hidden variable according to the voxelization feature; generating a binary mask code stream according to the voxelization features based on spatial prediction; generating a transmission code stream according to the first hidden variable and the binary mask code stream; and decoding the transmission code stream to obtain a reconstructed point cloud. The method can improve the coding and decoding efficiency, and can be widely applied to the technical field of point cloud compression.

The invention discloses an unmanned aerial vehicle flight data return method and system, and relates to the technical field of wireless communication, and the method comprises the steps: obtaining real-time data collected by an unmanned aerial vehicle; screening key data; carrying out lossless coding on the protocol data, the file data and the data in the key area, and carrying out lossy coding on the data outside the key area in the video data; a VPN tunnel is constructed based on a QUIC protocol, data obtained after protocol data, file data and video data are coded are divided into multiple fragments, key data fragments form a high-priority queue, and non-key data fragments form a low-priority queue; the bandwidth higher than that of the low-priority queue is allocated to the high-priority queue, and the bandwidth is transmitted back to the monitoring center through the VPN tunnel; and decrypting the received data, and decompressing the decrypted data. According to the method, the VPN tunnel, the QUIC and the adaptive coding technology are combined, and the time delay of data return is reduced as much as possible on the premise of ensuring lossless transmission of key data.

To provide a method and system for combined lossless and lossy coding.SOLUTION: The method includes receiving, by a decoder, a bitstream and identifying, in the bitstream, a current frame. The current frame includes a first area and a third area. The method also includes detecting, in the bitstream, an indication that the first region is coded according to a lossless coding protocol and decoding the current frame. Decoding the current frame includes decoding the first region using a lossless decoding protocol corresponding to the lossless encoding protocol.SELECTED DRAWING: Figure 3