8 results about "Picture reconstruction" patented technology

The application discloses a license plate recognition method, system and computer readable storage medium, and the license plate recognition method comprises the following steps: S1, extracting vehicle picture features to obtain a license plate feature map; S2, generating a license plate position mask according to the license plate feature map; S3, preprocessing the license plate position mask to obtain a first license plate picture; S4, reconstructing the first license plate picture to obtain a second license plate picture; and S5, recognizing the second license plate picture to output a license plate number. According to the application, the license plate feature map is obtained by extracting the vehicle picture features, the license plate position mask is further generated, the first license plate picture is obtained by preprocessing the license plate position mask, and the second license plate picture is obtained by reconstructing the first license plate picture, so that the influence of the angle deviation generally existing in the collected license plate image is reduced, the definition of the license plate picture is improved, and on this basis, the second license plate picture is finally recognized to output the license plate number, so that the accuracy and robustness of the license plate recognition are improved.

The application provides a kind of big data hierarchical encryption transmission optimization method based on edge cloud cooperation, comprising: target identification is carried out to the monitoring video collected, and high-value monitoring area and area label are extracted;Integrating interest area, label, real-time network available bandwidth, edge device computing power load and cloud feedback strategy correction factor, dynamically classify video frame into key event frame, routine activity frame and static background frame;A hierarchical encryption strategy is used to generate an encrypted hierarchical video frame group, which is efficiently uploaded to the cloud according to the transmission strategy generated by the bandwidth and strategy;Complete video is recovered by residual decoding and picture reconstruction;Security feature abstract is extracted from key event frame and is chained and stored;At the same time, the reconstruction completeness is evaluated, and the strategy correction factor is fed back to the edge according to the strategy correction factor, to form a closed loop optimization;For solving the problem of high bandwidth consumption, insufficient security and poor real-time performance in massive data transmission of monitoring video.

Systems, apparatuses, and methods are described for enhancing picture reconstruction in video coding. Bitstream information, such as original bit depth and range indicators, may be used to adjust reconstruction parameters. Compact representations of range differences may be signaled to enable efficient decoding. By adapting clipping ranges for reconstructed samples, the system may improve visual fidelity and reduce artifacts, even when internal processing operates at a different bit depth than the source. These techniques may support flexible configurations and maintain compression efficiency across diverse video formats.

Reconstruction of a frame or picture using adaptive resolution is described. A coded unit of a picture coded at a reduced resolution is reconstructed. The picture including the reconstructed coded unit is stored in a picture buffer at the reduced resolution. The picture is resampled to full resolution and a filter with block level signaled parameters is applied to the picture at full resolution.

The application provides a fingerprint retrieval method and device, the method comprising: constructing a contrast learning network; reading a plurality of first pictures, and performing picture reconstruction on each first picture to form a second picture respectively, wherein the first pictures contain first fingerprint information; inputting the plurality of first pictures and the second pictures into the contrast learning network to obtain first output data and second output data corresponding to each pair of first picture and second picture respectively; calculating the similarity of each corresponding first output data and second output data; updating the weight information of a first network in the contrast learning network based on the similarity; updating the weight information of a second network in the contrast learning network based on the updated weight information of the first network, thereby obtaining a fingerprint identification network storing first fingerprint information on all the first pictures; inputting second fingerprint information into the fingerprint identification network; and completing the retrieval of the second fingerprint information based on at least the fingerprint identification network.

A method performed by a decoder for generating a reconstructed picture corresponding to an original picture, wherein the original picture consists of a plurality of regions including at least a first region and a second region. The method includes obtaining a bitstream. The method also includes producing the reconstructed picture using the bitstream. The bitstream includes a first coded picture sample unit corresponding to the first region of the picture, and the bitstream further includes indicator information indicating that, for the second region of the picture, the bitstream does not include a coded picture sample unit corresponding to the second region of the picture.

In a method of video decoding, a coded video bitstream including coded information of a plurality of coded pictures is received. The coded information includes a supplemental enhancement information (SEI) message associated with a first picture and a second picture in the plurality of coded pictures, and the SEI message includes a syntax element indicative of a truncation function that converts the first picture of a first bit depth to a second picture of a second bit depth, the second bit depth being lower than the first bit depth. In the method, a reconstructed picture corresponding to the second picture is generated. The reconstructed picture includes corresponding reconstructed samples based on the coded information. A range of sample values of the reconstructed samples of the reconstructed picture is determined by the truncation function.

Systems, apparatuses, and methods are described for enhancing picture reconstruction in video coding. Bitstream information, such as original bit depth and range indicators, may be used to adjust reconstruction parameters. Compact representations of range differences may be signaled to enable efficient decoding. By adapting clipping ranges for reconstructed samples, the system may improve visual fidelity and reduce artifacts, even when internal processing operates at a different bit depth than the source. These techniques may support flexible configurations and maintain compression efficiency across diverse video formats.