Abstract: Example embodiments allow for fast, efficient motion-magnification of video streams by decomposing image frames of the video stream into local phase information at multiple spatial scales and/or orientations. The phase information for each image frame is then scaled to magnify local motion and the scaled phase information is transformed back into image frames to generate a motion-magnified video stream. Scaling of the phase information can include temporal filtering of the phase information across image frames, for example, to magnify motion at a particular frequency. In some embodiments, temporal filtering of phase information at a frequency of breathing, cardiovascular pulse, or some other process of interest allows for motion-magnification of motions within the video stream corresponding to the breathing or the other particular process of interest. The phase information can also be used to determine time-varying motion signals corresponding to motions of interest within the video stream.

Abstract: Example devices are described. One example device includes a battery. The battery includes a battery charging port, a battery discharging port, a battery negative port, a protection integrated circuit, a control switch, and an electrochemical cell. The battery charging port and the battery discharging port are ports independent of each other. The battery charging port is connected to a first electrode of the electrochemical cell, and a second electrode of the electrochemical cell is connected to a first end of the control switch, and a second end of the control switch is connected to the battery negative port. The protection integrated circuit is connected in parallel to electrodes of the electrochemical cell, and the protection integrated circuit is further connected to a third end of the control switch. The battery discharging port is connected to the first electrode of the electrochemical cell.

Abstract: A multimedia communication system and computer-implemented method for transmitting auxiliary display content to an end-user communication device to be rendered on a display device with a special effect to emphasize an image included in the auxiliary display content, comprising a processor and a transmitter. The processor can be arranged to analyze image data included in an auxiliary display content, detect an object image or a background image in the auxiliary display content based on the analysis of the image data, determine a special effect based on the analysis of the image data, and apply the special effect to the auxiliary display content to modify display properties for the auxiliary display content such that the object image is emphasized or pops-out. The transmitter can be arranged to send the auxiliary display content with modified display properties to an end-user communication device.

Abstract: Some implementations relate to determining whether glare is present in captured image(s) of an object (e.g., a photo) and/or to determining one or more attributes of any present glare. Some of those implementations further relate to adapting one or more parameters for a glare removal process based on whether the glare is determined to be present and/or based on one or more of the determined attributes of any glare determined to be present. Some additional and/or alternative implementations disclosed herein relate to correcting color of a flash image of an object (e.g., a photo). The flash image is based on one or more images captured by a camera of a client device with a flash component of the client device activated. In various implementations, correcting the color of the flash image is based on a determined color space of an ambient image of the object.

Abstract: Example batteries, terminals, and charging systems are described. One example battery includes a battery charging port, a battery discharging port, a battery negative port, an overcurrent protection element, a protection integrated circuit, a control switch, and an electrochemical cell. The battery charging port is connected to a positive electrode of the electrochemical cell. The control switch is connected in series between a negative electrode of the electrochemical cell and the battery negative port. The protection integrated circuit is connected in parallel to two ends of the electrochemical cell. The protection integrated circuit is further connected to the control switch so as to send a control signal to the control switch. In addition, the overcurrent protection element is connected in series between the battery discharging port and the positive electrode of the electrochemical cell. The battery provided in the present application has both a charging path and a discharging path.

Abstract: A method includes obtaining a reference image and a target image each representing an environment containing moving features and static features. The method also includes determining an object mask configured to mask out the moving features and preserves the static features in the target image. The method additionally includes determining, based on motion parallax between the reference image and the target image, a static depth image representing depth values of the static features in the target image. The method further includes generating, by way of a machine learning model, a dynamic depth image representing depth values of both the static features and the moving features in the target image. The model is trained to generate the dynamic depth image by determining depth values of at least the moving features based on the target image, the object mask, and the static depth image.

Abstract: A charging method, a terminal, a charger, and a system, includes: obtaining, by a terminal, a charging mode supported by a charger connected to the terminal; when the charging mode supported by the charger includes an open-loop fast charging mode, detecting, by the terminal, whether both the terminal and the charger are in an open loop state; when both the terminal and the charger are in the open loop state, sending, by the terminal, an open-loop fast charging instruction to the charger; and receiving, by the terminal, a voltage and a current that are transmitted by the charger according to the open-loop fast charging instruction, and performing charging in the open-loop fast charging mode. When determining that the charger supports charging in the open-loop fast charging mode, the terminal is adjusted to the open loop state to perform charging, so as to shorten a charging time and improve user experience.

Abstract: The present disclosure provides an improved training methodology that enables supervised contrastive learning to be simultaneously performed across multiple positive and negative training examples. In particular, example aspects of the present disclosure are directed to an improved, supervised version of the batch contrastive loss, which has been shown to be very effective at learning powerful representations in the self-supervised setting. Thus, the proposed techniques adapt contrastive learning to the fully supervised setting and also enable learning to occur simultaneously across multiple positive examples.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating realistic extensions of images. In one aspect, a method comprises providing an input that comprises a provided image to a generative neural network having a plurality of generative neural network parameters. The generative neural network processes the input in accordance with trained values of the plurality of generative neural network parameters to generate an extended image. The extended image has (i) more rows, more columns, or both than the provided image, and (ii) is predicted to be a realistic extension of the provided image. The generative neural network is trained using an adversarial loss objective function.

Abstract: A method includes obtaining a reference image and a target image each representing an environment containing moving features and static features. The method also includes determining an object mask configured to mask out the moving features and preserves the static features in the target image. The method additionally includes determining, based on motion parallax between the reference image and the target image, a static depth image representing depth values of the static features in the target image. The method further includes generating, by way of a machine learning model, a dynamic depth image representing depth values of both the static features and the moving features in the target image. The model is trained to generate the dynamic depth image by determining depth values of at least the moving features based on the target image, the object mask, and the static depth image.

Abstract: A multimedia communication system and computer-implemented method for transmitting auxiliary display content to an end-user communication device to be rendered on a display device with a special effect to emphasize an image included in the auxiliary display content, comprising a processor and a transmitter. The processor can be arranged to analyze image data included in an auxiliary display content, detect an object image or a background image in the auxiliary display content based on the analysis of the image data, determine a special effect based on the analysis of the image data, and apply the special effect to the auxiliary display content to modify display properties for the auxiliary display content such that the object image is emphasized or pops-out. The transmitter can be arranged to send the auxiliary display content with modified display properties to an end-user communication device.

Abstract: The present disclosure provides an improved training methodology that enables supervised contrastive learning to be simultaneously performed across multiple positive and negative training examples. In particular, example aspects of the present disclosure are directed to an improved, supervised version of the batch contrastive loss, which has been shown to be very effective at learning powerful representations in the self-supervised setting. Thus, the proposed techniques adapt contrastive learning to the fully supervised setting and also enable learning to occur simultaneously across multiple positive examples.

Abstract: The present disclosure relates to systems and methods for image capture. Namely, an image capture system may include a camera configured to capture images of a field of view, a display, and a controller. An initial image of the field of view from an initial camera pose may be captured. An obstruction may be determined to be observable in the field of view. Based on the obstruction, at least one desired camera pose may be determined. The at least one desired camera pose includes at least one desired position of the camera. A capture interface may be displayed, which may include instructions for moving the camera to the at least one desired camera pose. At least one further image of the field of view from the at least one desired camera pose may be captured. Captured images may be processed to remove the obstruction from a background image.

Abstract: Example embodiments allow for fast, efficient motion-magnification of video streams by decomposing image frames of the video stream into local phase information at multiple spatial scales and/or orientations. The phase information for each image frame is then scaled to magnify local motion and the scaled phase information is transformed back into image frames to generate a motion-magnified video stream. Scaling of the phase information can include temporal filtering of the phase information across image frames, for example, to magnify motion at a particular frequency. In some embodiments, temporal filtering of phase information at a frequency of breathing, cardiovascular pulse, or some other process of interest allows for motion-magnification of motions within the video stream corresponding to the breathing or the other particular process of interest. The phase information can also be used to determine time-varying motion signals corresponding to motions of interest within the video stream.

Abstract: A wireless charging apparatus includes a receive end coil, a switch selection circuit, a plurality of charging circuits, and a receive end controller. An input end of the switch selection circuit is connected to an output end of the receive end coil, and an output end of the switch selection circuit is connected to an input end of each of the charging circuits.

Abstract: A method includes obtaining a reference image and a target image each representing an environment containing moving features and static features. The method also includes determining an object mask configured to mask out the moving features and preserves the static features in the target image. The method additionally includes determining, based on motion parallax between the reference image and the target image, a static depth image representing depth values of the static features in the target image. The method further includes generating, by way of a machine learning model, a dynamic depth image representing depth values of both the static features and the moving features in the target image. The model is trained to generate the dynamic depth image by determining depth values of at least the moving features based on the target image, the object mask, and the static depth image.

Abstract: Example batteries, terminals, and charging systems are described. One example battery includes a battery charging port, a battery discharging port, a battery negative port, an overcurrent protection element, a protection integrated circuit, a control switch, and an electrochemical cell. The battery charging port is connected to a positive electrode of the electrochemical cell. The control switch is connected in series between a negative electrode of the electrochemical cell and the battery negative port. The protection integrated circuit is connected in parallel to two ends of the electrochemical cell. The protection integrated circuit is further connected to the control switch so as to send a control signal to the control switch. In addition, the overcurrent protection element is connected in series between the battery discharging port and the positive electrode of the electrochemical cell. The battery provided in the present application has both a charging path and a discharging path.

Abstract: A terminal and a fast charging method includes sending, by the terminal, instruction information to a charger connected to the terminal in order to instruct the charger to adjust an output voltage and an output current, converting, by the terminal, the output voltage of the charger into 1/K times the output voltage, and converting the output current of the charger into K times the output current such that a charging circuit between two sides of a battery charges the battery with the 1/K times the output voltage and the K times the output current, where K is a conversion coefficient of a conversion circuit with a fixed conversion ratio in the terminal and is a constant value, and K is any real number greater than one.

Abstract: A charging circuit in a terminal, or a charging system, is respectively coupled to a charger, a terminal load, and a battery. The charging circuit includes a first adjustment circuit, a current detection circuit, a voltage detection circuit, and a control circuit. A first end of the first adjustment circuit is coupled to the charger, a second end of the first adjustment circuit is further coupled to the terminal load, a third end of the first adjustment circuit is coupled to the control circuit, and a second end of the current detection circuit is coupled to a positive electrode of the battery.

Abstract: An example battery, a terminal, or a charging system can include a battery charging port, a battery discharging port, a battery negative port, an overcurrent protection element, a protection integrated circuit, a control switch, and an electrochemical cell. The battery charging port is connected to a positive electrode of the electrochemical cell, the control switch is connected in series between a negative electrode of the electrochemical cell and the battery negative port, the protection integrated circuit is connected in parallel to two ends of the electrochemical cell, and the protection integrated circuit is further connected to the control switch, so as to send a control signal to the control switch. In addition, the overcurrent protection element is connected in series between the battery discharging port and the positive electrode of the electrochemical cell.