49results about How to "Reduce coding costs" patented technology

An invention based on learning a discrete recurrent neural network for a given signal domain is described. In one implementation to the domain of visual images, the method can be used to efficiently compress digital photographs and to devise a new perceptual distortion measure between images that well-matches data collected from a human psychophysics experiment. Other applications of the invention include unsupervised detection of recurrent patterns in high-dimensional data and Shannon-optimal error-correcting coding from few training examples.

The invention provides an artificial intelligence tagging method and system. According to the invention, a commodity code is imparted to a commodity and is not printed; a traditional process such as forme-based printing is used to print a natural, two-dimensional and random personalized characteristic pattern on each commodity; personalized characteristic information is collected, and the commodity code is imparted; the personalized characteristic information and the commodity code are associated and stored in a preset database; a client scans the personalized characteristic pattern on the commodity; an artificial intelligence image recognition technology is used for retrieving to acquire the commodity code from the database; tagging of a digital printing machine is not used; a digital printing process is eliminated; the tagging cost can be reduced; the personalized pattern is printed, and the commodity code method is associated to innovatively realize commodity tagging; and non-digital printer artificial intelligence tagging is innovatively proposed.

The method of coding a hierarchized document comprises, for at least one element contained in the document:

a step (200, 210, 220) of creating at least one pattern which describes at least structural information of said element and

a step (230, 330) of selecting use, or not, of at least one of the created patterns, said selection depending on the efficiency of a coding operation of a set of instances of the created pattern, said coding operation implementing said created pattern.

Preferentially, the method comprises a step of creating at least two patterns which describe at least structural information of said element and a step of selecting a pattern from among the created patterns, on the basis of the efficiency of each coding operation of a set of instances of the created patterns, by implementing one of the created patterns

Specifically, a method decodes a picture. The picture is encoded and represented by blocks in a bitstream. For each block, a remap flag is obtained from the bit-stream. The block is either a remapped reconstructed block or a non-remapped reconstructed block. Either the non-mapped reconstructed block or an inverse remapped reconstructed block is output according to the remap flag. The remapped reconstructed block maximizes a similarity with the neighboring blocks, as compared to the similarity of the non-mapped reconstructed block and the neighboring blocks, by applying point operations to the remapped reconstructed block.

The invention is made in the field of image block encoding and reconstruction. A method for reconstructing a current block of an image is described, the current block being encoded using predictive encoding of segments resulting from geometry adaptive block partitioning of said current block. After decoding encoded data comprising at least one flag and motion vectors, wherein blocks referenced by the motion vectors are used for prediction of segments of the current block, the at least one flag and an encoding order of the motion vectors in the encoded data is used for determining which of the referenced blocks exhibits a geometry that matches the geometry of the current block and for determining a segment of the determined block, wherein prior to determining the segment, the determined block is geometry adaptive block partitioned into segments from which the segment is determined for predicting one of the segments of the current block.

The invention belongs to the field of information management, and provides an online encoding system of electronic supervision codes. The system is on the same production line, an encoding portion is utilized for encoding a product, under the condition that the production line does not stall, the quality checking portion is utilized for performing online recognition on the electronic supervision codes, the encoding function and the recognition function on the electronic supervision codes can be achieved on the same production line at the same time through cooperative work between the encoding portion and the quality checking portion, and therefore the encoding efficiency of packaging box skin is improved, the encoding cost is reduced, and the encoding technology is optimized.

The invention discloses a dictionary learning static image lossy compression method based on minimum quantization error criterion, and is to solve the problem of large quantification error of an existing static image lossy compression method. The technical scheme is characterized by adding information entropy of an index corresponding to each sparse coefficient into a sparse coding objective function as a regularization term; when selecting dictionary atoms through an orthogonal matching pursuit algorithm, minimizing the information entropy to limit dispersity of the dictionary atoms, thereby reducing coding cost of the index corresponding to each sparse coefficient; and meanwhile, in the dictionary learning process, ranking the sparse coefficients and finding k habit sequence division capable of enabling the total dispersion square sum of the sparse coefficients to be minimum, each division serving as one quantification group, different quantification groups adopting different quantization steps, the same quantification group adopting the same quantization steps, thereby enabling the final quantization error to be minimum.

The invention belongs to the technical field of metal cap processing, and provides a metal cap double-sided code assignment machine and a code assignment method thereof. According to the metal cap double-sided code assignment machine, a central code library generates a matched two-dimensional code and a verification code, a bottom code assignment position completes bottom two-dimensional code and plate number code assignment, and a top code assignment position completes front verification code and plate number code assignment. Therefore, batch implementation of double-sided code assignment can be realized by only one time of processing, matching of the double-sided code values can be ensured and the code assignment cost and the code assignment risk can be reduced. Integrated management of the data code packet can be realized through combination of the metal cap double-sided code assignment machine and the central code library, and the security, the reliability and the integrity of the encrypted data code packet can be managed and verified so that secure decryption and code assignment of the data code packet and updating and supervision of the data code packet state can be realized, and thus the use security of the code packet can be ensured. The whole metal cap double-sided code assignment machine realizes code assignment under the no-stop state of the production line so that the technical threshold of metal cap double-sided code assignment can be reduced and the processing period can be shortened.

The invention relates to a device for coding video frame sequences, comprising means (1) for measuring the spatial activity of the video frames to be coded, means (1) for measuring the temporal activity of the video frames to be coded, means (2) for coding the frames as a frame structure or as a field structure. According to the invention, the means (2) for coding the frames as a frame structure or as a field structure are able to choose the field or frame structure dynamically as a function of the measurements of spatial and temporal activity of the said frame.

The invention discloses a device and a method for dynamically calculating the physical quantity of a sensor; the method comprises the following steps: setting corresponding formula configuration items for all physical quantity signal values or setting corresponding formula configuration items for all physical quantity signal values for different wireless sensor nodes; saving the corresponding relationship of the settings; receiving the physical quantity signal values measured by the wireless sensor nodes, and selectively receiving the identifies of the wireless sensor nodes; according to the physical quantity signal values or the wireless sensor node identifies and the physical quantity signal values, searching the corresponding formula configuration items from the saved corresponding relationship; and after finding the corresponding formula configuration items, and calculating the real physical quantity measured value according to the formula that the formula configuration items express. The technical scheme can dynamically increase or replace a sensor circuit board under the circumstance of not compiling the programs of an upper computer.

The invention discloses a video predictive coding method and device, and the method comprises the steps: determining executed mode information according to an executed mode in a decision process of deciding the optimal mode of a current prediction unit during inter-frame prediction, wherein the executed mode information comprises a stage optimal mode and the cost of the stage optimal mode; and judging whether to skip the intra-frame prediction mode of the decision process or not according to the executed mode information, thereby reducing the consumption of the Intra mode, reducing the resource overhead of an encoder to a great extent, further improving the encoding speed and reducing the encoding cost.

The embodiment of the invention discloses a coding mode determination method and device, equipment and a storage medium, and the method comprises the steps: dividing a coding unit under each coding specification into conversion units under a next coding specification adjacent to the coding specification, and calculating the coding cost of each conversion unit; and sequentially performing cost optimization integration on the coding unit and the conversion unit under the same coding specification to obtain an overall coding mode under the optimal coding cost. According to the technical scheme provided by the embodiment of the invention, the coding cost can be minimized when the overall coding mode is adopted for video coding, the adaptability of the video coding modes adopted under differentvideos is ensured, the calculation overhead of video coding is reduced, and the video coding rate is further improved.

The invention relates to a video encoding method provided for encoding each frame of a sequence of successive groups of frames. This method comprises for each successive current frame, itself subdivided into blocks, the steps of estimating a motion vector for each block, generating a predicted frame from these motion vectors, applying to a difference signal between the current frame and the last predicted frame a transformation and quantization sub-step, and coding the quantized coefficients thus obtained. A preprocessing step, applied to each successive current frame, computes for said frame a so-called content-change strength (CCS), used to define a modified structure of the successive groups of frames to be encoded.

The invention discloses a Mock-based unit test method, apparatus and device, and a readable storage medium. The method comprises the following steps: when a Mock object is created, searching whether amapping class and a mapping method corresponding to the Mock object exist in at least one pre-configured test case; if the mapping class and the mapping method are found, obtaining the mapping method; and when the Mock object method is called, executing the mapping method, and returning corresponding Mock data. According to the method, test cases can be managed in a centralized manner, and the coding cost is effectively reduced.

An MPEG video resolution reduction system includes an MPEG decoder, a down-sampler, and a partial MPEG re-encoder. The MPEG decoder decodes an input resolution MPEG stream to an input resolution baseband, and determines coding information from decoding the input resolution MPEG stream. The down-sampler down-samples the input resolution baseband to a reduced resolution baseband. The partial MPEG re-encoder uses the coding information to encode the reduced resolution baseband to a reduced resolution MPEG stream.

A method for compressing video operates by first deleting one or more video packets from binary train to provide a reduced binary train. Thereafter, error masking is performed on the reduced binary train to yield a corrected degraded local decoded image which is the image reconstructed on the basis of the reduced binary train and of the masking algorithm. The reduction in the binary train is validated as a function of the quality of the corrected degraded local decoded image. Lastly one of the reduced binary train or of the binary train, is selected depending on whether or not there is validation.