7 results about "Lossy coding" patented technology

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 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.

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 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 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.