Abstract: In a method of enhancing the appearance of a digital image on an electronic display, Ambient Light Sensor (ALS) and Screen Brightness (SB) inputs are combined with a calibration input 12 to generate a first strength parameter 22, including an alpha component that is dependent only upon the properties of the display. Then a further, content-based input 24 is also combined to generate a second strength parameter 26, including a beta component that is dependent only upon a content type, or a content quality, or both.

Abstract: A method to frame a video stream is provided. A video stream is captured, then motion of the camera, object presence in the video stream, and position of the object are detected. A framed video stream is generated using a framing in dependence on the motion of the camera and the position of the object. A system for framing a video stream is also provided, wherein the system comprises a camera and a processing unit, and the processing unit comprises at least one processor and at least on memory including computer program instructions to execute a method to frame a video stream.

Abstract: The invention relates to feature extraction technique based on edge extraction. It can be used in computer vision systems, including image/facial/object recognition systems, scene interpretation, classification and captioning systems. A model or profile of the noise in the sensor is used to improve feature extraction or object detection on an image from a sensor.

Abstract: A method to analyze an image and determine whether to output image data associated with an area of the image is provided. An object detection algorithm using training image data to detect an object based at least in part on a similarity of appearance of image data to data derived from the training image data is provided. Weakly detected objects are classified based on characteristics associated with the weakly detected object and may be added to the training image dataset for use in further training of the object detection algorithm. The object detection algorithm is trained with a revised dataset, the revised dataset being updated with data generated by the object detection algorithm.

Abstract: An image sensor provides a first image with a first exposure and a second image with a second exposure. An exposure controller sets the first exposure in dependence on pixel intensities of at least one of the images. It sets the second exposure in dependence on a factor and the first exposure. The factor is determined in dependence on pixel intensities of at least one of the images.

Abstract: A method of controlling in a display device screen brightness and strength of dynamic range compression of display data in dependence on ambient light level. Ambient light level values are required from one or more ambient light sensors. The ambient light level values are averaged using a first method to obtain a first average value and using a second, different method to obtain a second average value. The first average value is used for controlling the screen brightness and the second average value is used for controlling the strength of the dynamic range compression.

Abstract: A method of determining an orientation of an object within an image. The method determines the responses of at least two classifiers in at least one region of the image corresponding to the object. The classifiers have been trained to identify a given object in different specific orientations. The orientation of the object is determined as an average of the specific orientations, weighted by the responses of their respective classifiers.

Abstract: A method of selecting at least one region of interest within an image includes the selection of a preliminary region having a preliminary border. The selection uses one or more characteristics of the image. An inner probability distribution of color components is determined within the preliminary region and an outer probability distribution of color components outside the preliminary region. The preliminary border is adjusted in dependence on the probability distributions, the adjusted border defining the at least one region of interest.

Abstract: A method of controlling in a display device screen brightness and strength of dynamic range compression of display data in dependence on ambient light level. Ambient light level values are required from one or more ambient light sensors. The ambient light level values are averaged using a first method to obtain a first average value and using a second, different method to obtain a second average value. The first average value is used for controlling the screen brightness and the second average value is used for controlling the strength of the dynamic range compression.