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: 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: 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: 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.

Abstract: A method, apparatus and computer program product are provided to facilitate interaction with a computing device, such as interaction with an object viewable via a display of a computing device. In the context of a method, an object viewable via a display is identified, such as by facial recognition. The method also includes determining that the object has become aligned with an operation indicator as a result of movement of the display relative to the object. In response to determining that the object is aligned with the operation indicator, the method also performs an operation associated with the operation indicator. In this regard, a method may perform the operation upon at least one aspect associated with the object. Corresponding apparatus and computer program products are also provided.

Abstract: Methods and apparatuses are provided for facilitating object recognition. A method may include accessing data for a first object and data for a second object. The method may additionally include comparing the first and second objects based at least in part upon a reference set and training results generated based at least in part upon the reference set and training data. The method may further include determining whether the first object and the second object are the same object based at least in part upon the comparison. Corresponding apparatuses are also provided.

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: An approach is provided for providing collaborative recognition using media segments. The recognition platform causes, at least in part, a generation of a request to determine recognition information for one or more media items associated with a device, one or more segments of the one or more media items, or a combination thereof. Next, the recognition platform determines to transmit the request to one or more other devices based, at least in part, on one or more device selection criteria. Then, the recognition platform receives the recognition information in response to the request. Further, the recognition platform processes and/or facilitates a processing of the recognition information to determine one or more identities of one or more users, one or more objects, or a combination thereof represented in the one or more media items.

Abstract: A method and a technical equipment for people identification. The method comprises detecting a person segment in video frames; extracting feature vector sets for several feature categories from the person segment; generating a person feature model of the extracted feature vectors sets; and transmitting the person feature model to a people identification model pool. The solution can provide more extensive people identification.

Abstract: Embodiments of the present invention relate to a method and apparatus for live user recognition. There is disclosed a method for live user recognition. The method comprises: obtaining an image containing a face; while recognizing the face based on the image, detecting whether gaze of the face moves into proximity of a random position on a display screen every time an object is displayed at the random position; and determining whether the image is obtained from the live user based on the detection. The corresponding apparatus is disclosed as well.

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 a detected user position indication of a facial feature associated with a face, provide for anchoring of the position of a corresponding computer generated facial feature so that facial landmark localisation for the corresponding computer generated facial feature can be anchored around the corresponding position on a computer generated image of the face.

Abstract: Methods, apparatuses, and computer program products are herein provided for enabling hand gesture recognition using an example infrared (IR) enabled mobile terminal. One example method may include determining a hand region in at least one captured frame using an adaptive omnidirectional edge operator (AOEO). The method may further include determining a threshold for hand region extraction using a recursive binarization scheme. The method may also include determining a hand location using the determined threshold for the extracted hand region in the at least one captured frame. The method may also include determining a fingertip location based on the determined hand location. Similar and related example apparatuses and example computer program products are also provided.

Abstract: A free hand gesture control user interface is described. Components of the interface system may include a stereo vision camera, or multiple cameras, a control unit, a projector and a projecting surface. In an automotive application, the projecting surface may be the windscreen in the vehicle or a mounted screen. The camera together with software modules in the control unit define a gesture acceptance border and a gesture acceptance space within which hand gestures may be imaged, defined for various control actions, and executed. The hand images are analyzed in slices of the gesture acceptance space to determine hand orientation (open or closed) and/or motion.

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