Abstract: Embodiments disclosed herein relate to a ROIC with a plurality of unit cells coupled to a detector array having a plurality of detectors for collecting photoelectrons over a plurality of temporal instances. An individual unit cell is electrically coupled to an individual detector to have one-to-one correspondence and includes one or more storage elements coupled to one or more programmable logic control switches. The storage element(s) store signal charges representing the photoelectrons while the programmable logic control switch(es) direct the signal charges from the storage element(s) at an individual temporal instance. A configuration of signal charges in the plurality of unit cells is mathematically operated as a three-dimensional matrix having a plurality of elements, where the three dimensions correspond to the two spatial dimensions of an individual unit cell and the individual temporal instance, and an individual element has a value corresponding to the number of signal charges stored therein.

Abstract: The present disclosure provides a driving assist system including: a determiner configured to determine whether a current road is an intersection on the basis of camera information obtained from a stereo camera for monitoring the front area of a vehicle; and an adjuster configured to adjust the direction of a first field of view (FOV) or a second field of view such that the overlap area of the first field of view and the second field of view that are the fields of view of a first camera and a second camera included in the stereo camera is reduced, when the current road is determined as an intersection.

Abstract: A video intermodal transcoder converts a compressed bitstream formulated according a type-1 compression scheme to a type-2 compressed bitstream formulated according to a type-2 compression scheme. The transcoder includes an augmented type-1 decoder, a transcoder kernel, and an augmented type-2 encoder. The transcoder kernel performs processes of creating motion-vector candidates and pre-computing prediction errors for each cell of a predefined image coding block and for each candidate motion vector for repetitive use in evaluating various image partitions. In an implementation where the type-1 compression scheme follows the H.264 standard and the type-2 compression scheme follows the HEVC standard, the transcoder exploits the flexibility of the coding-tree structure and other HEVC features to significantly reduce the bit rate of the compressed bit stream. The pre-computation of prediction errors significantly reduces the processing effort, hence increases the throughput of the transcoder.

Abstract: Techniques and apparatuses are described for video frame codec architectures. A frame decompressor decompresses compressed frames to produce decompressed frames. A frame decompressor controller arbitrates shared access to the frame decompressor. Multiple cores of an SoC request to receive a decompressed frame from the frame decompressor via the frame decompressor controller. The frame decompressor controller can implement a request queue and can order the servicing of requests based on priority of the requests or requesting cores. The frame decompressor controller can also establish a time-sharing protocol for access by the multiple cores. In some implementations, a video decoder is logically integrated with the frame decompressor and stores portions of a decompressed frame in a video buffer, and a display controller retrieves the portions for display using a synchronization mechanism. In analogous manners, a frame compressor controller can arbitrate shared access to a frame compressor for the multiple cores.

Abstract: System and methods of managing reference frame adaptively for video communication under a network are provided. The system adaptively decides the interval between each I frame, the bitrate of the encoded bit steams, and the resolution of the encoded video to achieve quick connection. The system may set the appropriate reference frame(s) for the current frame, manage the reference frame(s) in the DPB to be long/short term reference frame(s) or mark them as unused for reference; mark the current frame to be a long term reference frame, a short term reference frame, unused for reference or skip encoding the current frame; adaptively change the ratio of long term reference frame(s) with respect to the short term reference frame(s) in the DPB; adaptively change the frequency ratio of marking the current frame as long term reference frame and marking the current frame as short term reference frame.

Abstract: The moving picture coding method for coding an input image includes: converting a value of a first parameter into a first binary signal, the first parameter identifying a type of a sample offset process to be applied to a reconstructed image corresponding to the input image; and coding at least a portion of the first binary signal through bypass arithmetic coding using a fixed probability.

Abstract: Machine learning is used to refine a probability distribution for entropy coding video or image data. A probability distribution is determined for symbols associated with a video block (e.g., quantized transform coefficients, such as during encoding, or syntax elements from a bitstream, such as during decoding), and a set of features is extracted from video data associated with the video block and/or neighbor blocks. The probability distribution and the set of features are then processed using machine learning to produce a refined probability distribution. The video data associated with a video block are entropy coded according to the refined probability distribution. Using machine learning to refine the probability distribution for entropy coding minimizes the cross-entropy loss between the symbols to entropy code and the refined probability distribution.

Abstract: A camera module comprising: a first optical system and a second optical system, each of the first and second optical systems including: a first frame configured to support a first lens group and move along an optical axis in a first direction; and a second frame configured to support a reflector configured to reflect light passing through the first lens group, and move in a second direction that is different from the first direction.

Abstract: Systems and methods are disclosed for encoding and decoding video. For example, methods may include accessing an encoded bitstream; decoding loop restoration parameters in the encoded bitstream; after reconstruction of an image at a second resolution based on data of the encoded bitstream, upscaling the reconstructed image to obtain an upscaled reconstructed image at a first resolution, wherein the second resolution is less than the first resolution in at least one dimension; and applying loop restoration filtering to the upscaled reconstructed image using the loop restoration parameters to obtain a loop restored image at the first resolution.

Abstract: Provided is a data processing device that reduces the amount of memory access in a case where data and an error control code are to be stored in a memory. The processing device includes a data compression section, a code generation section, a binding section, and a transfer section. The data compression section generates second data by performing a predetermined compression process on first data that is to be stored in a memory and of a predetermined data length. The code generation section generates an error control code for the first data or the second data. The binding section generates third data by binding the second data generated by the data compression section to the error control code generated by the code generation section. The transfer section transfers the third data generated by the binding section to the memory in units of the predetermined data length.

Abstract: A method and apparatus for a low complexity transform unit partitioning structure for High Efficiency Video Coding (HEVC). The method includes determining prediction unit size of a coding unit, and setting the size of transform unit size of Y, U and V according to the prediction unit size of the coding unit.

Abstract: An audio/video (A/V) recording and communication doorbell device includes an input port, a switch, a first power supply, a second power supply, a button, a first controller, and a second controller. The switch is electrically coupled across the input port. The first power supply receives power from the input port and powers a first power supply rail, and the second power supply powers a second power supply rail. The button, when pressed, activates a signaling device. The first controller is at least partially powered from the first power supply rail and closes the switch in response to the button being pressed. The second controller is at least partially powered from the second power supply rail.

Abstract: A measurement device for measuring a position of an object, includes an illuminator configured to illuminate the object, an image capturing device configured to capture the object illuminated by the illuminator, a calculator configured to obtain the position of the object based on an image obtained by the image capturing device, and a controller configured to control the illuminator and the image capturing unit. The controller outputs timing information indicating a timing determined in accordance with a measurement period that is an overlapping period of an illumination period for causing the illuminator to illuminate the object and an image capturing period for causing the image capturing device to capture the object.

Abstract: An imaging microscope (12) for generating an image of a sample (10) comprises a beam source (14) that emits a temporally coherent illumination beam (20), the illumination beam (20) including a plurality of rays that are directed at the sample (10); an image sensor (18) that converts an optical image into an array of electronic signals; and an imaging lens assembly (16) that receives rays from the beam source (14) that are transmitted through the sample (10) and forms an image on the image sensor (18). The imaging lens assembly (16) can further receive rays from the beam source (14) that are reflected off of the sample (10) and form a second image on the image sensor (18). The imaging lens assembly (16) receives the rays from the sample (10) and forms the image on the image sensor (18) without splitting and recombining the rays.

Abstract: The present disclosure provides a video compressed sensing reconstruction method, including: step B, after receiving to-be-reconstructed compressed video frames, extracting frame fragments of the compressed video frames according to a predetermined extraction rule; step C, inputting the frame fragments into an input layer of a pre-trained video frame reconstruction model, performing feature abstraction to the frame fragments through multiple hidden layers of the video frame reconstruction model, and building a nonlinear mapping between each frame fragment and a corresponding frame fragment block; and step D, reconstructing the input frame fragments to frame fragment blocks by the hidden layers according to the nonlinear mapping, and outputting the frame fragment blocks by an output layer of the video frame reconstruction model, and generating a reconstructed video based on the reconstructed frame fragment blocks. The present disclosure can render and reconstruct video frames quickly with a high quality.

Abstract: Several systems and methods for intra-prediction estimation of video pictures are disclosed. In an embodiment, the method includes accessing four ‘N×N’ pixel blocks comprising luma-related pixels. The four ‘N×N’ pixel blocks collectively configure a ‘2N×2N’ pixel block. A first pre-determined number of candidate luma intra-prediction modes is accessed for each of the four ‘N×N’ pixel blocks. A presence of one or more luma intra-prediction modes that are common among the candidate luma intra-prediction modes of at least two of the four ‘N×N’ pixel blocks is identified. The method further includes performing, based on the identification, one of (1) selecting a principal luma intra-prediction mode for the ‘2N×2N’ pixel block and (2) limiting a partitioning size to a ‘N×N’ pixel block size for a portion of the video picture corresponding to the ‘2N×2N’ pixel block.

Abstract: Self-leveling inspection system methods and devices for use in inspecting buried pipes or other cavities are disclosed. A camera head may include an image sensor, an orientation sensing module, and an image processing module with programming to adjust an image or video provided from the image sensor, based at least in part on information provided from the orientation sensor.

Abstract: Aspects of the disclosure provide method and apparatus for video coding. In some examples, an apparatus includes processing circuitry. The processing circuitry decodes prediction information of a first block from a coded video bitstream. The first block is a non-square block and the prediction information for the first block is indicative of a first intra prediction mode in a first set of intra prediction modes for a square block. Then, the processing circuitry remaps the first intra prediction mode to a second intra prediction mode in a second set of intra prediction modes that is used for the non-square block. The second set of intra prediction modes includes at least the second intra prediction mode that is not in the first set of intra prediction modes. Further, the processing circuitry reconstructs at least one sample of the first block according to the second intra prediction mode.

Abstract: Embodiments of the present invention include methods, devices, and systems that light and magnify a treatment site within the oral cavity without interfering with a dental treatment procedure. In particular, example embodiments of the present invention provide a virtual operatory system that includes an image capture subsystem connected to an image display subsystem. For example, the image capture subsystem can capture and communicate a live image of a treatment site to the image display subsystem for the dental professional to view while performing a dental treatment procedure. In at least one example embodiment, the virtual operatory system can also include an image rendering subsystem that can render the live image of the treatment site in one or more ways to provide an improved visual to the dental professional of the treatment site.

Abstract: A camera-parameter-set calculation apparatus includes a three-dimensional point group calculator that calculates a plurality of three-dimensional coordinates, based on first and second images respectively captured by first and second cameras and first and second camera parameter sets of the first and second cameras; an evaluation value calculator that determines a plurality of pixel coordinates in the second image, based on the plurality of three-dimensional coordinates and the second camera parameter set, determines a plurality of third pixel coordinates in a third image captured by a third camera, based on the plurality of three-dimensional coordinates and a third camera parameter set of the third camera, and calculates an evaluation value, based on pixel values at the plurality of second and third pixel coordinates in the second and third images; and a camera-parameter-set determiner that determines a fourth camera parameter set for the third camera, based on the evaluation value.