Abstract: System and method for synchronizing a plurality of devices are disclosed. According to certain embodiments, a synchronization method includes transmitting, at a first point in time, a first signal for a device to initiate a first operation. The method also includes transmitting, at a second point in time, a second signal for a device to initiate a second operation. The first signal and the second signal indicate a difference between the first point in time and the second point in time.

Abstract: An apparatus, method and computer program product are caused at least to perform: controlling a touch sensitive display to display a first graphical item at a first position and a second graphical item at a second position, the second graphical item being separated from the first graphical item by a first distance; detecting a first user digit at the first position and a second user digit at the second position; reducing the first distance by moving at least one of the first and second graphical items across the touch sensitive display, in response to detecting movement, across the touch sensitive display, of at least one of the first and second user digits; and controlling the touch sensitive display to display a third graphical item, after determining the first distance has been reduced such that the first graphical item is proximate the second graphical item.

Abstract: Obtaining a first set including key point descriptors in a first image that is of a to-be-shot scene and that is formed by using a first camera in a dual camera system, and a second set including key point descriptors in a second image that is of the to-be-shot scene and that is formed by using a second; pairing a key point in the first set and a key point in the second set that match each other to form a key point pair; selecting the key point pair that meets a predetermined condition; generating an image alignment vector field according to the selected key point pair; and estimating an occlusion area according to the depth information of the first image and the second image, and eliminating an alignment vector of the occlusion area in the image alignment vector field, to form a corrected image alignment vector field.

Abstract: A camera calibration method includes: based on external parameters of the first camera, determining a first mapping point set on a reference mapping plane for a first feature point set on an original image captured by the first camera; based on M predetermined adjustment modes, adjusting external parameter values of the second camera to obtain M intermediate extremal parameter values; based on each adjustment mode and its corresponding external parameter values, determining a second mapping point set on the reference mapping plane for a second feature point set that matches with the first feature point set and is on an original image captured by the second camera; computing a distance corresponding to the adjustment mode between the second mapping point set and the first mapping point set; and adjusting the external parameter values of the second camera based on the distance and a step length corresponding to each adjustment mode.

Abstract: A method includes obtaining a to-be-processed current point in a target area in a current frame, obtaining a first-type smoothing weight of a first-type neighborhood point in an Nth frame before the current frame with respect to the current point, where the first-type neighborhood point is an Xth circle point that encircles a point corresponding to a location of the current point and that is in the Nth frame before the current frame, obtaining a second-type smoothing weight of a second-type neighborhood point in an Mth frame after the current frame with respect to the current point, where the second-type neighborhood point is a Yth circle point that encircles the point corresponding to the location of the current point and that is in the Mth frame after the current frame, and performing smoothing calculation on the current point according to the first-type smoothing weight and the second-type smoothing weight.

Abstract: The invention relates to a method, comprising tracking the gaze of an eye of a user by a first camera, wherein a position of the gaze determines a place for the cursor on the screen of a near-to-eye display (NED), wherein the movement of the gaze is configured to move the cursor on the screen and when the movement of the gaze is detected to be still or moving only slightly; observing a gesture of one hand of the user by a second camera, and executing a further operation if at least one gesture of the hand is detected. The invention further relates to an apparatus and a computer program product configured to perform the method.

Abstract: It is inter alia disclosed to classify samples of a set of samples of an image regarding whether or not a respective sample comprises optical information on a specific object type based on classification information. Therein, the classification information comprises a plurality of classifiers, each classifier being associated exclusively with one color channel of a plurality of color channels.

Abstract: An apparatus, a method, a computer program and a graphical user interface is provided.

Abstract: A method includes: receiving sensor data representing a subject within a field of vision associated with respective ones of a plurality of modular cameras associated with a composite camera and one or more geo-spatial characteristics associated with respective ones of the plurality of modular cameras; determining an arrangement of the composite camera based on the sensor data; generating digital content for respective ones of the plurality of modular cameras based on the sensor data; and generating combined digital content that represents a subject within a field of vision associated with the composite camera based on the digital content and the arrangement of the composite camera, wherein the field of vision associated with the composite camera includes at least some of fields of vision associated with the plurality of modular cameras.

Abstract: A shooting method and a mobile device are used to resolve a technical problem in shooting new visual media such as a Living Image by operating a shooting button, so as to simplify a shooting operation of the new visual media, such as the Living Image, that is different from a picture and a video. In some feasible implementation manners of the present invention, the method includes: starting video shooting on a shooting screen when a long press event of a shooting button is received; and when the long press event ends, if a long press period of the shooting button does not exceed a first set threshold, completing mixed visual media shooting, where the mixed visual media includes one video clip and at least one static picture.

Abstract: A method comprising: causing transfer of a displayable first item to a display of a remote apparatus by causing transfer of data to the remote apparatus, the data defining features of the displayable first item; and enabling remote user-control of interaction, in the display of the remote apparatus, between a second item displayed in the display of the remote apparatus and the transferred displayable first item.

Abstract: Embodiments of the present invention relate to a method and apparatus for detecting an imaging condition. In one embodiment, there is provided a method for detecting an imaging condition. The method comprises: determining, based on luminance distribution in a first image of a scene, imaging lightness of the first image, the first image being captured by a first camera; determining, based on detection of a highlighted region in a second image of the scene, imaging exposureness of the second image, the second image being captured by a second camera, the first image and the second image being captured under a same or similar imaging condition, an exposure amount of the first camera being lower than an exposure amount of the second camera. There is also disclosed a relevant apparatus, electronic device, and a computer program product.

Abstract: The invention concerns a gesture recognition method for gesture-based interaction at an apparatus. The method comprises receiving one or more images of an object; creating feature images for the received one or more images; determining binary values for pixels in corresponding locations of said feature images and concatenating the binary values to form a binary string for said pixel; repeating the previous step for each corresponding pixel of said feature image to form a feature map and forming a histogram representation of the feature map. The invention also concerns an apparatus and a computer program.

Abstract: An apparatus comprising: a processor; and a memory including computer program code, the memory and the computer program code configured, with the processor, to cause the apparatus to perform at least the following: compare received biometric face vectors, wherein each received biometric face vector is received from a respective electronic device of a plurality of electronic devices and comprises one or more biometric face values determined from a respective image of a person captured by the corresponding electronic device; and provide for pairing authentication of the plurality of electronic devices if the comparison meets a predetermined similarity criterion.

Abstract: A device is provided for adjusting brightness of a plurality of images each including a plurality of pixels. The device may include a memory configured to store instructions. The device may also include a processor configured to execute the instructions to determine overall luminance values of the images. The processor may also be configured to determine, from the images, a reference image and a reference overall luminance value based on the overall luminance values. The processor may further be configured to determine adjustment factors for the images based on the reference overall luminance value of the reference image, determine weighting factors for the pixels in an image to be adjusted, and adjust luminance values of the pixels in the image to be adjusted based on an adjustment factor for the image and the weighting factors for the pixels.

Abstract: The present disclosure relates to methods and apparatus for globally adjusting luminance and/or chrominance consistency among multiple images. The methods may include sorting a plurality of images in an order, such that: adjacent images at least partially overlap with each other; and the first image and the last image at least partially overlap with each other. The methods may also include determining mean pixel values for overlapping region of the images. The methods may also include determining consistency factors for the images. The methods may also include generating modified mean pixel values by multiplying the mean pixel values by the respective consistency factors. The methods may also include adjusting the consistency factors to reduce differences of the modified mean pixel values in the overlapping regions. The methods may further include adjusting pixel values of the images based on the respective consistency factors.

Abstract: A system used for generating a transformed representation of a quantity of video data structured as a plurality of frames including arrays of rows and columns of pixels having pixel properties. The system may generate first representations of the video data based on a plurality of the rows; generate second representations of the video data based on a plurality of the columns; generate frame representations corresponding to the frames and based on the first and second representations; and combine the frame representations to form the transformed representation of the video data. The system may also generate frame representations respectively corresponding to the frames; combine the frame representations to form a transformed representation of the video data; analyze the transformed representation; and identify frames of interest based on the analysis.

Abstract: System and method for synchronizing a plurality of devices are disclosed. According to certain embodiments, a synchronization method includes transmitting, at a first point in time, a first signal for a device to initiate a first operation. The method also includes transmitting, at a second point in time, a second signal for a device to initiate a second operation. The first signal and the second signal indicate a difference between the first point in time and the second point in time.

Abstract: The present invention provides a method for image processing, a corresponding apparatus and a computer program product. The method comprises performing face detection of an image, obtaining a coarse face segmentation region of at least one face and a contour edge of the at least one face based on the face detection; and adjusting the coarse face segmentation region based on the contour edge to obtain a fine face segmentation region. By using the method, corresponding apparatus and computer program product of the present invention, the coarse face region in an image can be precisely segmented, which provides a good basis for the subsequent image processing based on the fine face segmentation region.

Abstract: Embodiments of the present invention relate to a method and apparatus for detecting an imaging condition. In one embodiment, there is provided a method for detecting an imaging condition. The method comprises: determining, based on luminance distribution in a first image of a scene, imaging lightness of the first image, the first image being captured by a first camera; determining, based on detection of a highlighted region in a second image of the scene, imaging exposureness of the second image, the second image being captured by a second camera, the first image and the second image being captured under a same or similar imaging condition, an exposure amount of the first camera being lower than an exposure amount of the second camera. There is also disclosed a relevant apparatus, electronic device, and a computer program product.