Abstract: In some aspects, a method for object re-identification may include obtaining a first set of images from a first camera, and a second set of images from at least one second camera; determining a first set of features based on the first set of images, the first set of features lying in a first feature space; and determining a second set of features based on the second set of images, the second set of features lying in a second feature space. The method may additionally include determining a first feature projection matrix and a second feature projection matrix that respectively map the first set of features and the second set of features to a shared feature space; and determining a common dictionary based on the shared feature space.

Abstract: In some aspects, a method for object re-identification may include obtaining a first set of images from a first camera, and a second set of images from at least one second camera; determining a first set of features based on the first set of images, the first set of features lying in a first feature space; and determining a second set of features based on the second set of images, the second set of features lying in a second feature space. The method may additionally include determining a first feature projection matrix and a second feature projection matrix that respectively map the first set of features and the second set of features to a shared feature space; and determining a common dictionary based on the shared feature space.

Abstract: The present disclosure discloses a water flosser with an image system comprises a body, a water outlet spout, and an image system. The water outlet spout and a camera lens of the image system are disposed on the body, and an area covered by ejected water ejected from the water outlet spout at least partially coincides with an image area of the image system.

Abstract: A method is provided for encoding an intra predicted residual block of an image for use in image or video compression. The intra predicted residual block is associated with an intra prediction coding mode. The method includes generating a set of residual error blocks including residual data with different statistical characteristics from the residual data in the intra predicted residual block. Each of the residual error blocks is scanned and entropy coded to produce a first set of bit streams. The lengths of each of the first set of bit streams are recorded. The intra predicted residual block is also scanned and entropy coded to produce a second bit stream. The length of the second bit stream is recorded. Selecting the minimum length bit stream from the first set of bit streams and the second bit stream as the output coded bit stream of the intra predicted residual block.

Abstract: A method of performing an image retargeting quality assessment comprising comparing an original image and a retargeted image in a frequency domain, wherein the retargeted image is obtained by performing a retargeting algorithm on the original image. The disclosure also includes an apparatus comprising a processor configured to perform an image retargeting quality assessment, and compare an original image and a retargeted image in a spatial domain, wherein the retargeted image is obtained by performing a retargeting algorithm on the original image, and wherein comparing the original image and the retargeted image in the spatial domain comprises comparing the original image and the retargeted image to determine an amount of shape distortion between the images.

Abstract: A method is provided for encoding an intra predicted residual block of an image for use in image or video compression. The intra predicted residual block is associated with an intra prediction coding mode. The method includes generating a set of residual error blocks including residual data with different statistical characteristics from the residual data in the intra predicted residual block. Each of the residual error blocks is scanned and entropy coded to produce a first set of bit streams. The lengths of each of the first set of bit streams are recorded. The intra predicted residual block is also scanned and entropy coded to produce a second bit stream. The length of the second bit stream is recorded. Selecting the minimum length bit stream from the first set of bit streams and the second bit stream as the output coded bit stream of the intra predicted residual block.

Abstract: A method of performing an image retargeting quality assessment comprising comparing an original image and a retargeted image in a frequency domain, wherein the retargeted image is obtained by performing a retargeting algorithm on the original image. The disclosure also includes an apparatus comprising a processor configured to perform an image retargeting quality assessment, and compare an original image and a retargeted image in a spatial domain, wherein the retargeted image is obtained by performing a retargeting algorithm on the original image, and wherein comparing the original image and the retargeted image in the spatial domain comprises comparing the original image and the retargeted image to determine an amount of shape distortion between the images.

Abstract: A Method for encoding a picture with a first region and a second region is described wherein the first region is encoded according to a first encoding scheme, the second region is encoded according to a second encoding scheme and the second encoding scheme is carried out taking a parameter representing the visual perception of the second region into account.

Abstract: A method of measuring a quality of a test video stream, the method comprising measuring a content richness fidelity feature of the test video stream based on occurrences of color values in image frames of the test video stream; measuring a block-fidelity feature of the test video stream based on distortion at block-boundaries in the image frames of the test video stream; measuring a distortion-invisibility feature of the test video stream based on distortion at pixels of the image frames of the test video stream; and determining a quality rating for the test video stream based on the content richness fidelity feature, the block-fidelity feature and the distortion-invisibility feature measured.

Abstract: A Method for encoding a picture with a first region and a second region is described wherein the first region is encoded according to a first encoding scheme, the second region is encoded according to a second encoding scheme and the second encoding scheme is carried out taking a parameter representing the visual perception of the second region into account.

Abstract: A method for generating a quality oriented significance camp for assessing the quality of an image or video, comprising the steps of extracting features of the image or video, determining a perceptual quality requirement of at least one extracted feature and integrating the extracted features and the perceptual quality requirement of the at least one extracted feature to form an array of significance level values, thereby generating the quality oriented significance map.

Abstract: An image quality measurement system (10) determines various features of an image that relate to the quality of the image in terms of its appearance. The features include the image's blockiness invisibility (B), the image's colour richness (R) and the image's sharpness (S). These are all obtained without the use of a reference image. The determined features are combined to provide an image quality measure (Q).

Abstract: A method of measuring a quality of a test video stream, the method comprising measuring a content richness fidelity feature of the test video stream based on occurrences of color values in image frames of the test video stream; measuring a block-fidelity feature of the test video stream based on distortion at block-boundaries in the image frames of the test video stream; measuring a distortion-invisibility feature of the test video stream based on distortion at pixels of the image frames of the test video stream; and determining a quality rating for the test video stream based on the content richness fidelity feature, the block-fidelity feature and the distortion-invisibility feature measured.

Abstract: A method for use in a real-time video encoder based on two processing means to optimise the use of computing power of the processing means. This is achieved by dynamically load-balancing between two processing means. The load pattern is determined with measures for the progress of motion estimation in one processing means and the idle time in the other. Adaptive adjustment of load balancing is fulfilled via making a decision on whether the DCT/IDCT/Quantization/Dequantization sub-process is skipped for a macroblock. The invention is not constrained to particular motion estimation techniques.