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.

Abstract: User input data and movement data relating to movement of a device to which the user input is made is monitored. The input data may be modified according to the movement data so that inadvertent inputs based on an unwanted tremors, bumps, or similar are accounted for. Data from an accelerometer may indicate sudden movement or bumps. The input data, such as handwriting for example, may then be modified based on the data from the accelerometer. Therefore, the device may determine the input as intended by the user.

Abstract: Embodiments of the present invention relate to a method and apparatus for image enhancement. In particular, there is provided a method for image enhancement, the method comprising: estimating unsharpness of the image (S201-S204); determining a protection level of at least one pixel in the image based on the unsharpness (S205); and modifying a value of the at least one pixel to enhance the image, an amount of the modifying being determined at least in part based on the protection level (S206-S210). A corresponding apparatus and user device are disclosed. The invention may be applied to fog or haze removal from images or video without producing over-removal artifacts. In some embodiments, the invention may also be used to remove noise from low-light images.

Abstract: A method for editing objects on a device comprising forming a first path on a touch screen with a pointing device. The first path at least partially encloses an object. The at least partially enclosed object is automatically selected. A second path is formed at a predetermined area on the touch screen with the pointing device. The second path activates an editing operation.

Abstract: There are disclosed various methods for video processing in a device and an apparatus for video processing. In a method one or more frames of a video are displayed to a user and information on an eye of the user is obtained. The information on the eye of the user is used to determine one or more key frames among the one or more frames of the video; and to determine one or more objects of interest in the one or more key frames. An apparatus comprises a display for displaying one or more frames of a video to a user; an eye tracker for obtaining information on an eye of the user; a key frame selector configured for using the information on the eye of the user to determine one or more key frames among the one or more frames of the video; and an object of interest determiner configured for using the information on the eye of the user to determine one or more objects of interest in the one or more key frames.

Abstract: An electronic device having a memory, a display, control apparatus and a data processor. When the data processor executes a program stored in the memory of the electronic device, the electronic device receives an image containing a person, the image further containing a face component, the face component containing the face of the person; displays the image on the display; locates the face component within the image; emphasizes the face component; receives image annotation information concerning the face component; and saves the image annotation information to the memory of the electronic device. The image annotation information may take the form of contact information for use in a contact database. A method uses the face component to locate other images in the database that also contain the person, and adds the annotation information to those images.

Abstract: Methods and apparatuses are provided for face detection. A method may include selecting a face detection parameter subset from a plurality of face detection parameter subsets. Each face detection parameter subset may include a subset of face posture models from a set of face posture models and a subset of image patch scales from a set of image patch scales. The method may further include using the selected face detection parameter subset for performing face detection in an image. Corresponding apparatuses are also provided.

Abstract: Apparatus, a method and a computer program are provided.

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: 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: An apparatus, the apparatus comprising at least one processor, and at least one memory including computer program code, the at least one memory and the computer program code configured, with the at least one processor, to cause the apparatus to perform at least the following: based on an indication of captured colour, the colour captured from a real-world object, provide for application of the captured colour to an identified body feature in a computer generated image of a body.