Abstract:
The present invention relates generally a method and device for controlling a camera capable of pan and tilt control, and more specifically a method and device for controlling adjustments of the field of view of such camera.
Abstract:
A method of identifying relevant areas in digital images is provided. The method comprises receiving information representative of pixels in a first digital image, and calculating a spatial statistical measure of said information for groups of neighboring pixels in said first image to form a group value for each group of pixels. Further, the method comprises calculating differences between group values, and comparing said differences to a predetermined threshold value. If said difference is equal to or above said threshold value, said group is identified as relevant, and if said difference is below said threshold value, said group is identified as not relevant. A method of encoding digital images based on the identification of relevant and non-relevant areas is also provided, as well as a digital encoder system.
Abstract:
The present invention relates generally a method and device for controlling a camera capable of pan and tilt control, and more specifically a method and device for controlling adjustments of the field of view of such camera.
Abstract:
A method of pre-processing digital images captured by an image sensor for encoding is disclosed. The method comprises receiving a first digital image, receiving information representative of a movement of the image sensor at a time of capture of said first digital image), and pre-processing said first digital image. At least one parameter of said pre-processing is dependent on said information representative of movement. A digital image pre-processing system is also disclosed.
Abstract:
A method of generating an event video sequence is disclosed. The method comprises receiving input image frames encoded into a sequence of image frames arranged in groups of pictures, each group of pictures having a GOP structure. The method further comprises storing a pre-event sequence of image frames in a first-in-first-out buffer, said pre-event sequence having a first predetermined GOP structure, upon receiving an event notification, retrieving the pre-event sequence from the buffer, and generating the event video sequence by combining the pre-event sequence and a post-event sequence of image frames, said post-event sequence having a second GOP structure, which is different from said first GOP structure. A system for generating an event video sequence is also disclosed, as well as a camera comprising such a system, and a computer program product with instructions adapted to carry out the method when executed by a processor.
Abstract:
A method for encoding video is disclosed. The method comprises the steps of receiving information representative of pixels in a current digital image frame of a video to be encoded, calculating a group value for each group of neighboring pixels based on the received information, accumulating group values of corresponding groups of pixels in a first sequence of frames to form a first accumulation of accumulated group values, accumulating group values of corresponding groups of pixels in a second sequence of frames to form a second accumulation of accumulated group values, wherein the second sequence includes frames captured over a longer period of time than the first sequence, comparing accumulated group values of the first accumulation with accumulated group values of the second accumulation, calculating a global change value based on the comparison, setting a GOP length based on the global change value; and encoding the current image frame as an intra-frame or inter-frame based on the GOP length. An encoder system for encoding video is also disclosed.
Abstract:
A method of identifying relevant areas in digital images is provided. The method comprises receiving information representative of pixels in a first digital image, and calculating a spatial statistical measure of said information for groups of neighboring pixels in said first image to form a group value for each group of pixels. Further, the method comprises calculating differences between group values, and comparing said differences to a predetermined threshold value. If said difference is equal to or above said threshold value, said group is identified as relevant, and if said difference is below said threshold value, said group is identified as not relevant. A method of encoding digital images based on the identification of relevant and non-relevant areas is also provided, as well as a digital encoder system.