65 results about "Reference free" patented technology

Methods and apparatus to evaluate the semantic proximity between reference free-form text entry and a candidate free-form text request.

The invention discloses a reference-free three-dimensional picture quality objective evaluation method based on machine learning. The reference-free three-dimensional picture quality objective evaluation method comprises the steps that a vision dictionary list is structured in a training stage, sparse coefficient matrixes of all subblocks in a left viewpoint picture and all subblocks in a right viewpoint picture are calculated respectively for the left view point picture and the right view point picture of any distortion three-dimensional picture according to the structured vision dictionary list, the characteristic vector of the left viewpoint picture and the characteristic vector of the right viewpoint picture are obtained through the maximum pooling method, characteristic extraction is simple, and the computation complexity is low; a support vector regression training model of the left viewpoint picture and a support vector regression training model of the right viewpoint picture are structured, objective quality evaluation predictive values, corresponding to each characteristic vector in a test sample data set, of the left viewpoint picture and the right viewpoint picture respectively are obtained through prediction, weighing is conducted according to characteristic vector information, the objective quality evaluation prediction value of the three-dimensional picture is obtained, and the correlation between the objective evaluation result and subjective perception is high.

Disclosed in the invention is a natural-scene-based reference-free high-dynamic image quality evaluation algorithm. The algorithm is implemented as follows: step one, carrying out perceptually uniform(PU) coding on an HDR image to obtain a corresponding LDR image; step two, carrying out mean subtracted contrast normalization on the LDR image; step three, extracting an image feature of a salient region image block; and step four, carrying out image quality calculation, obtaining features of an original HDR image and a distorted HDR image, and carrying out fitting by using an MVG model to obtain a mean value and a variance matrix v- and sigma. Compared with the prior art, the natural-scene-based reference-free high-dynamic image quality evaluation algorithm has the following advantages: theconsistency with the human-eye-based objective high-dynamic image quality evaluation is high; no complicated conversion is needed during the calculation process; the complexity is low; the real-timehigh-dynamic image quality evaluation is realized; because of combination of the high-dynamic image with the reference-free image quality evaluation, the universality is high; and the novel idea is provided for the study on the high-dynamic image quality evaluation.

The invention relates to a reference-free image quality evaluation method based on Walsh-Hadamard transformation. The method comprises steps that distortion images for training are selected; image transformation for each distortion image is carried out to acquire a local Walsh-Hadamard transformation image of the each distortion image; a rotation invariant uniform LBP operator is applied to zero sequency items and non-zero sequency items in three scales to carry out image characteristic extraction; for characteristic training, an SUR network is utilized to carry out characteristic training to acquire an image characteristic to subjective quality score mapping relationship model, the model is taken as an evaluation module, and image quality is evaluated.

A method and apparatus for identifying an inconsistency. A number of waves that propagate through a structure are generated. A response signal is generated in response to detecting at least a portion of the number of waves that propagate through the structure. A determination is made as to whether the response signal includes a reflected component. A presence of the inconsistency in the structure is indicated when the response signal includes the reflected component.

FIFOs may be implemented in shared memory using linked lists and interleaved linked lists such that any individual FIFO can dynamically use any free memory location. The system may be implemented in hardware efficiently and does not pre-allocate memory to any FIFO, so that the whole shared memory may be used by any one of the FIFOs. The maximum physical size of a FIFO is then limited only by the size of the physical memory and not by the number of FIFOs sharing the same physical memory or by any mechanism for pre-allocating physical memory to the FIFOs. The linked lists contain data words, each data word containing a data field and a reference to a subsequent free memory location. A subsequent data word may be enqueued to the FIFO at the last referenced free memory location. A dequeue operation returns free memory locations to the free memory pool. Multiple linked lists may be interleaved to accelerate reading of data words from the FIFO.

The invention discloses a reference-free stereoscopic video quality objective evaluation method based on multi-view feature learning. The method comprises the following steps: performing curvelet transform on an image sequence, and extracting a coefficient to serve as a texture feature; comparing eight adjacent pixels with a central pixel; generating ten output modes; calculating the occurrence frequency of each mode, and averaging the occurrence frequencies to obtain an average value to serve as an airspace texture feature; performing dimension reduction to obtain a space domain feature; acquiring motion strength features of adjacent images, and calculating the average value to serve as a time domain feature; performing DCT (Discrete Cosine Transformation) on a tridimensional perception domain view, performing DCT coefficient modeling, extracting shape parameters, and calculating the average value to serve as a stereoscopic perception domain feature; performing SVM (Support Vector Machine) training; performing prediction by using an evaluation model to obtain an objective quality score; and weighting to obtain a finial quality score. The influences of a space domain, a time domainand a tridimensional perception feature on the stereoscopic video quality are combined to perform stereoscopic video quality evaluation, so that the accuracy of stereoscopic video objective quality accuracy is improved.

The invention discloses a reference-free spliced image quality evaluation method and system, and belongs to the technical field of image processing. The evaluation method comprises the following steps: firstly, calculating an adaptive threshold, and judging the detail complexity of a spliced image; then, determining the number of pixel points in the neighborhood of each pixel point according to the detail complexity of the spliced image, and acquiring a CLBP window gradient difference value of each pixel point through calculation; and then, acquiring the average CLBP window gradient differencevalue of the spliced image through calculation, so that the quality of the spliced image can be evaluated. According to the spliced image quality evaluation method provided by the invention, the quality of the spliced image is objectively evaluated by utilizing the average CLBP window gradient difference value (MCLBP _ M value) of the spliced image, the operation is simple, and an evaluation effect consistent with a subjective evaluation result can be achieved without reference images.