Abstract: Systems and methods for performing trick play functionality using trick play streams during adaptive bitrate streaming in accordance with embodiments of the invention are disclosed. One embodiment includes requesting a video container index from a video container file containing a video stream from a plurality of alternative streams of video; requesting at least one portion of the video stream using at least one entry from the video container index; decoding the at least one portion of the video stream; receiving at least one user instruction to perform a visual search of the media; requesting a trick play container index from a trick play container file containing a trick play stream; requesting at least one frame of video from the at least one trick play stream; and decoding and displaying the at least one frame of video from the trick play stream.

Abstract: According to the disclosure of the present document, chroma quantization parameter offset-related information may be signaled via a palette coding syntax, and index information about a chroma quantization parameter offset list may be efficiently parsed/signaled on the basis of information about the number of entries within the chroma quantization parameter offset list. Accordingly, bits that need to be signaled for video/image coding can be reduced, and coding efficiency can be improved.

Abstract: There is includes a method and apparatus comprising computer code configured to cause a hardware processor or processors to perform intra prediction among a plurality of reference lines, to set a plurality of intra prediction modes for a zero reference line nearest to a current block of the intra prediction among non-zero reference lines, and to set one or more most probable modes for one of the non-zero reference lines.

Abstract: Systems and methods for performing trick play functionality using trick play streams during adaptive bitrate streaming in accordance with embodiments of the invention are disclosed. One embodiment includes requesting a video container index from a video container file containing a video stream from a plurality of alternative streams of video; requesting at least one portion of the video stream using at least one entry from the video container index; decoding the at least one portion of the video stream; receiving at least one user instruction to perform a visual search of the media; requesting a trick play container index from a trick play container file containing a trick play stream; requesting at least one frame of video from the at least one trick play stream; and decoding and displaying the at least one frame of video from the trick play stream.

Abstract: A method includes obtaining multiple images of a scene using an imaging sensor associated with a vehicle, where the images of the scene capture lane marking lines associated with a traffic lane in which the vehicle is traveling. The method also includes identifying, in each of at least some of the images, a vanishing point based on the lane marking lines captured in the image. The method further includes identifying an average position of the vanishing points in the at least some of the images. In addition, the method includes determining one or more extrinsic calibration parameters of the imaging sensor based on the average position of the vanishing points. The one or more extrinsic calibration parameters of the imaging sensor may include a pitch angle and a yaw angle of the imaging sensor.

Abstract: There is disclosed herein examples of systems and methods for compressing a signal. Samples of the signal can be segmented and the samples within each of the segments can be averaged to produce a value that can represent the samples within the segment. The number of samples to average in each segment may be determined based on an error threshold, such that the number of samples being averaged can be maximized to produce less data to be transmitted while maintaining the representation of the samples within the error threshold. In some embodiments, a signal can be separated into a timing reference, a representative periodic function, and a highly compressible error signal. The error signal can be utilized for reproducing a representation of the signal.

Abstract: A method of video coding, executable by a processor, includes receiving video data having a coding tree unit size, determining whether the coding tree unit size is greater than a predetermined threshold, and in response to the coding tree unit size being greater than the predetermined threshold, signaling, in a sequence parameter set (SPS), a first flag indicating whether a maximum transform size in luma samples is equal to 64. The first flag being equal to 1 specifies that the maximum transform size in luma samples is equal to 64, the first flag equal to 0 specifies that the maximum transform size in luma samples is equal to 32, and when not present, the first flag is inferred to be equal to 0.

Abstract: A method of video decoding according to the present invention may comprise determining an intra prediction mode of a current block, determining a DC value using reference samples adjacent to the current block when the intra prediction mode of the current block is a DC mode, and deriving a prediction sample of the current block based on the DC value.

Abstract: An image decoding method according to the present document includes obtaining motion prediction information for a current block from a bitstream, generating an affine MVP candidate list for the current block, deriving CPMVPs for CPs of the current block based on the affine MVP candidate list, deriving CPMVDs for the CPs of the current block based on the motion prediction information, deriving CPMVs for the CPs of the current block based on the CPMVPs and the CPMVDs, and deriving prediction samples for the current block based on the CPMVs.

Abstract: A learning device 3 includes: a training image acquisition unit 321 that acquires training images in which a first training image acquired by capturing light from a subject irradiated with light in a first wavelength band and a second training image acquired by capturing light from the subject irradiated with light in a second wavelength band different from the first wavelength band are paired; a singular area specification unit 322 that specifies a singular area in the second training image; a first feature data extraction unit 323 that extracts feature data of a singular-corresponding area at a pixel position corresponding to the singular area in the first training image; and a singular-corresponding area learning unit 324 that generates a learning model by performing machine learning on the singular-corresponding area based on the feature data.

Abstract: An endoscope system irradiates a subject with each of a plurality of pieces of illumination light in a preset order, images the subject according to a preset first imaging frame rate during a first period in which first illumination light included in the plurality of the illumination light is applied, acquires a first image captured during the first period, generates a first display image according to a first display frame rate higher than the first imaging frame rate on the basis of the acquired first image, and displays the first display image on a display.

Abstract: Techniques are described for compressing and decompressing data using machine learning systems. An example process can include receiving a plurality of images for compression by a neural network compression system. The process can include determining, based on a first image from the plurality of images, a first plurality of weight values associated with a first model of the neural network compression system. The process can include generating a first bitstream comprising a compressed version of the first plurality of weight values. The process can include outputting the first bitstream for transmission to a receiver.

Abstract: Techniques for facilitating light signal assessment receiver systems and methods are provided. In one example, a light signal assessment device includes a light signal detection device including a filter array, a detector array, and a measurement device. The filter array is configured to filter a light signal incident on the filter array. The detector array is configured to receive the filtered light signal and generate a light signal detection image based on the filtered light signal. The measurement device is configured to determine a characteristic associated with the light signal based on the light signal detection image. The assessment device further includes a logic device configured to generate an output based on the characteristic. Related methods and systems are also provided.

Abstract: The present invention concerns a method of encapsulating subpicture bitstreams in at least one media file, the subpicture bitstreams corresponding to encoded media data of a subpicture corresponding to a rectangular region of video data, the method comprising: obtaining the plurality of subpicture bitstreams; encapsulating each subpicture bitstream in a subpicture track; generating at least one base track referencing at least two subpicture tracks and forming a spatial arrangement of the at least two subpicture tracks; generating information describing APS referenced by samples of the at least two subpicture tracks; encapsulating the subpicture tracks, the at least one base track and the information describing APS in the at least one media file.

Abstract: An electronic apparatus and method are disclosed herein. The electronic device includes at least one camera, a distance sensor, an illumination sensor, a display, a light-emitting module configured to generate a flash, and a processor. The processor implements the method, including: displaying a camera preview image, acquiring a distance between the apparatus and an object depicted in the preview image, acquiring a brightness in the local environment, detecting whether a shadow of the electronic apparatus is depicted in the preview image, based on the acquired distance and the acquired brightness, detecting whether a shadow is disposed within the field-of-view of the camera, and in response to detecting the shadow of, configuring a brightness value for a flash to reduce the shadow.

Abstract: A coding apparatus is a coding apparatus for coding an original image and includes: a division section that divides the original image into blocks that are a plurality of areas to acquire the plurality of blocks; a determination section that, for each of the blocks, determines whether or not to determine the block as an interpolation target; and a substitution section that substitutes a value of a pixel included in the block determined as the interpolation target, with a value that decreases a code amount of the block determined as the interpolation target. The determination section determines whether or not to determine the area that is a target of the determination as an area that is the interpolation target, using an evaluation based on an accuracy of prediction of an image of the block by intra prediction or inter prediction and a degree of the area that is the interpolation target being a generated one.

Abstract: A camera with a field of view toward an external environment of an aircraft is disposed within an aircraft door such that an engine inlet of an engine of the aircraft is within the field of view of the camera. A display device is disposed within an interior of the aircraft. A processor is operatively coupled to the camera and to the display device. The processor analyzes image data captured by the camera to determine whether persons or foreign objects are present near the engine inlet, or detect damage or deformation of the engine inlet.

Abstract: Decoding and/or encoding video information included in a bitstream can involve a predicted quantization matrix associated with at least a portion of the video information and a syntax element indicating that at least one coefficient of the predicted quantization matrix is to be interpreted as a residual such that the decoding and/or encoding of at least a portion of the video information is based on a combination of the predicted quantization matrix and the residual, where the syntax element is obtained from the bitstream during decoding, or included in the bitstream during encoding.

Abstract: In various examples, machine learning of encoding parameter values for a network is performed using a video encoder. Feedback associated with streaming video encoded by a video encoder over a network may be applied to an MLM(s). Using such feedback, the MLM(s) may predict a value(s) of an encoding parameter(s). The video encoder may then use the value to encode subsequent video data for the streaming. By using the video encoder in training, the MLM(s) may learn based on actual encoded parameter values of the video encoder. The MLM(s) may be trained via reinforcement learning based on video encoded by the video encoder. A rewards metric(s) may be used to train the MLM(s) using data generated or applied to the physical network in which the MLM(s) is to be deployed and/or a simulation thereof. Penalty metric(s) (e.g., the quantity of dropped frames) may also be used to train the MLM(s).

Abstract: A computer-implemented method for contrastive object representation from temporal data using an artificial neural network (ANN) includes receiving, by the ANN, a video. The video comprises a temporal sequence of frames including images of one or more objects. The ANN generates object representations corresponding to the one or more objects based on temporal data of multiple frames of the temporal sequence of frames. The object representations are communicated to a receiver.