Abstract: An image decoding device includes a prediction unit configured to generate a prediction signal included in a prediction block based on a motion vector. The prediction unit is configured to perform refinement processing of setting a search range based on a reference position specified by the motion vector, specifying a corrected reference position having the smallest predetermined cost from the search range, and correcting the motion vector based on the corrected reference position. When a block size of the prediction block is larger than a predetermined block size, the prediction unit is configured to divide the prediction block into sub-block groups and perform the refinement processing for each sub-block.

Abstract: A method of distinguishing between proteinaceous and non-proteinaceous particulates in a fluid sample includes the steps of acquiring a brightfield background image of a membrane filter, introducing a fluid sample onto the membrane filter, acquiring a brightfield image of filtered particles resting on the membrane filter, generating a particle mask based on the brightfield background image and the brightfield image of filtered particles, introducing a fluorescent dye onto the membrane filter, detecting fluorescence on the particle mask, and distinguishing between proteinaceous and non-proteinaceous particulates based on the detected fluorescence. A method for detecting other types of particles, such as polysorbate particles, silicone oil or protein monomers is also disclosed.

Abstract: An intra-frame decoding method includes obtaining, from a video code stream, prediction mode information of a first signal component of a current block, determining a prediction mode of the first signal component of the current block from a prediction mode set of the first signal component of the current block according to the prediction mode information of the first signal component of the current block, where the prediction mode set of the first signal component of the current block includes at least one of a linear model above (LMA) mode and a linear model left (LML) mode; obtaining a predicted value of a first signal component sampling point of the current block; and obtaining a reconstructed value of the first signal component sampling point of the current block according to the predicted value of the first signal component sampling point of the current block.

Abstract: At an artificial intelligence system, one or more classifier training iterations are performed until a training completion criterion is met. A particular iteration comprises obtaining, via an interactive interface, asynchronously with respect to the start of the iteration, class labels for data items identified in a previous iteration as candidates for labeling feedback. The particular iteration also comprises identifying, based on an analysis of classification predictions generated using classifiers trained using class labels obtained via the interface, another set of data items as candidates for labeling feedback. After the training criterion is met, a classifier trained using labels obtained during the iterations is stored.

Abstract: A target reflector search device. This device comprises an emitting unit for emitting an emission fan, a motorized device for moving the emission fan over a spatial region, and a receiving unit for reflected portions of the emission fan within a fan-shaped acquisition region, and a locating unit for determining a location of the reflection. An optoelectronic detector of the receiving unit is formed as a position-resolving optoelectronic detector having a linear arrangement of a plurality of pixels, each formed as an SPAD array, and the receiving unit comprises an optical system having an imaging fixed-focus optical unit, wherein the optical system and the optoelectronic detector are arranged and configured in such a way that portions of the optical radiation reflected from a point in the acquisition region are expanded on the sensitivity surface of the optoelectronic detector in such a way that blurry imaging takes place.

Abstract: Disclosed are methods and apparatuses for decoding an image. A method includes receiving a bitstream obtained by encoding the image; dividing a first coding block into a plurality of second coding blocks; generating a prediction block of a second coding block based on syntax information obtained from the bitstream; and reconstructing the second coding block based on the prediction block and a residual block of the second coding block, the residual block being obtained by performing a dequantization and an inverse-transform on quantized transform coefficients from the bitstream. The first coding block has a recursive division structure. The first coding block is divided based on at least one of a quad tree division, a binary tree division or a triple tree division.

Abstract: A vehicular exterior rearview mirror assembly includes a mirror head mounted at a mounting structure. An electro-optic reflective element is attached at an attachment element that attaches at an electrically powered actuator accommodated by the mirror head. The reflective element has a front glass substrate having a first thickness less than 2.3 mm and a rear glass substrate having a second thickness less than or equal to 1.6 mm. The first and second perimeter edges of the glass substrates combine to provide a curved transition from a first surface of the front glass substrate and an outer surface of the mirror head. The mirror head includes a protruding portion that is at least partially received at a notched region of the rear glass substrate. An outer surface of the protruding portion corresponds with the second perimeter edge of the rear glass substrate at the notched region.

Abstract: The present technique relates to an information processing apparatus, an information processing method, a photographing apparatus, a lighting apparatus, and a mobile body which enable accuracy of image recognition processing to be improved. The information processing apparatus includes: a recognizing portion configured to perform image recognition processing with respect to an image photographed by a photographing portion and calculate, for each recognized area being an area based on a recognition result of an object, a reliability of the recognition result; and an irradiation control portion configured to control an irradiation pattern of visible light in a photographing direction of the photographing portion so that the reliability with respect to at least a part of the recognized areas increases. For example, the present technique can be applied to a vehicle control apparatus.

Abstract: An Internet-based application allows a trainee to record a performance of a scene containing roles A and B with performers for the scene's roles alternately speaking their respective lines. The system displays the lines in a teleprompter style, and based on the experience level of the trainee, may blank out increasing portions of the teleprompter-style lines. If the trainee is assigned role A, the system will present each role A line to be spoken by the trainee with a time progress bar indicating the speed/timing or time remaining for that line. The trainee's performance is recorded by a computer. The teleprompter timer ensures that the trainee's performance is coordinated with a take of role B, even though the trainee's take and the role B take are actually recorded at different times. The takes are played in tandem for evaluating effectiveness of the training.

Abstract: A system and method for scanning an environment and generating an annotated 2D map is provided. The system includes a 2D scanner having a light source, an image sensor and a first controller. The first controller determines a distance value to at least one of the object points. The system further includes a 360° camera having a movable platform, and a second controller that merges the images acquired by the cameras to generate an image having a 360° view in a horizontal plane. The system also includes processors coupled to the 2D scanner and the 360° camera. The processors are responsive to generate a 2D map of the environment based at least in part on a signal from an operator and the distance value. The processors being further responsive for acquiring a 360° image and integrating it at a location on the 2D map.

Abstract: System and method for predicting and scoring a data model are provided. The system includes a memory configured to receive a plurality of data sets. The system also includes a processing subsystem operatively coupled to the memory and configured to select one or more variables based on a plurality of parameters, to apply feature engineering and transformation on one or more variables to extract a plurality of features from the plurality of data sets, to build new data model based on the plurality of features, to evaluate a classification technique to select a right machine learning model based on a plurality of elements, to predict a newly built data model based on an evaluated classification technique and score the predicted data model. The system further includes a display model operatively coupled to the processing subsystem and configured to present the predicted and scored data model in one or more forms.

Abstract: A method of decoding an image, includes obtaining at least one offset for a picture, deriving a variable for scaling for the picture based on the at least one offset, and performing inter prediction based on the variable for scaling for the picture. The at least one offset is defined with a direction of scaling.

Abstract: There is provided a medical endoscope device including: an encoding processing unit configured to compression-encode RAW image data of a medical captured image of an observation target captured by an imaging device that is inserted into a body of a patient and captures an image of an inside of the body; and a transmission unit configured to wirelessly transmit the compression-encoded RAW image data.

Abstract: An overview image of a sample carrier is obtained in a method for ascertaining a measurement location of a microscope. A mapping or homography is determined, by means of which the overview image is perspectively convertible into a plan view image on the basis of a height of the sample carrier. The measurement location is identified, with the aid of the determined mapping/homography, in the overview image or in an output image derived therefrom.

Abstract: The present disclosure discloses a three-dimensional (3D) image sensor and a related 3D image sensing module and hand-held device. The 3D image sensor includes, a photosensitive pixel array, including: a first photosensitive pixel; a second photosensitive pixel; and a pixel control signal transmission line, so that the first photosensitive pixel and the second photosensitive pixel respectively output a first photosensitive value and a second photosensitive value according to a pixel control signal; wherein the pixel control signal reaches a first node at a first time point and reaches a second node at a second time point; a delay detection module, including: a first delay detection circuit, for determining a time difference between the first time point and the second time point; and a processing unit, for generating the first depth information and the second depth information based on the first photosensitive value, the second photosensitive value, and the time difference.

Abstract: Systems and methods relating to multitask transfer learning. Neural networks are used to accomplish a number of tasks and the results of these tasks are used to determine parameters common to these and other tasks. These parameters can then be used to accomplish other related tasks. In the description, data fitting as well as image related tasks are used. Task conditioning as well as the use of a KL regularizer have greatly improved results when testing the methods of the invention.

Abstract: The disclosure provides a noise filter. The noise filter includes a motion estimation (ME) engine. The ME receives a current frame and a reference frame. The current frame comprising a current block and the reference frame includes a plurality of reference blocks. The ME engine generates final motion vectors. The current block comprises a plurality of current pixels. A motion compensation unit generates a motion compensated block based on the final motion vectors and the reference frame. The motion compensated block includes a plurality of motion compensated pixels. A weighted average filter multiplies each current pixel of the plurality of current pixels and a corresponding motion compensated pixel of the plurality of motion compensated pixels with a first weight and a second weight respectively. The weighted average filter generates a filtered block. A blockiness removal unit is coupled to the weighted average filter and removes artifacts in the filtered block.

Abstract: The present disclosure relates to systems and methods for facing a tissue block. In some embodiments, a method is provided for facing a tissue block that includes imaging a tissue block to generate imaging data of the tissue block, the tissue block comprising a tissue sample embedded in an embedding material, estimating, based on the imaging data, a depth profile of the tissue block, wherein the depth profile comprises a thickness of the embedding material to be removed to expose the tissue sample to a pre-determined criteria, and removing the thickness of the embedding material to expose the tissue to the pre-determined criteria.

Abstract: An apparatus comprises a storage device configured to store a plurality of dictionary data for respectively detecting a plurality of different objects from an image; and at least one processor configured to function as: a detection unit configured to use partial dictionary data of the plurality of dictionary data to detect an object corresponding to the partial dictionary data, with respect to each frame of an image of a plurality of frames obtained by an image capturing device; and a switching unit configured to switch the dictionary data to be used by the detection unit in the plurality of frames, according to a result of the object detection by the detection unit.

Abstract: A tablet computer includes a housing, a display, a processing system, a camera system comprising a camera sensor, and a battery system, the battery system positioned within the housing. The battery system is configured to charge an external device. A charging cable retainer is configured to retain one or more cables against or within the housing. One or more integral cables are provide. The one or more integral cables include a cable comprising a first end fixedly coupled to the battery system, a first connector of a first type configured to mate with a first type of external device connector, a second connector of a second type configured to mate with a second type of external device connector, and a lens configured to form images on the camera sensor. The charging cable retainer includes a cable channel or magnet.