Patent application number | Description | Published |
20120110253 | COMBINED MEMORY AND STORAGE DEVICE IN AN APPARATUS FOR DATA PROCESSING - The invention concerns an apparatus for data processing comprising a central processing unit and a non volatile random access memory. The central processing unit and the non volatile random access memory are connected via a memory bus. The data related to an operating system for running said apparatus is at least partly stored in said non volatile random access memory and the memory used by the operating system for operating said apparatus is at least partly said non volatile memory. | 05-03-2012 |
20130139171 | METHOD AND APPARATUS FOR GENERATING METADATA FOR DIGITAL CONTENT - A method and an apparatus for generating metadata for digital content are described, which allow to review the generated metadata already in course of ongoing generation of metadata. The metadata generation is split into a plurality of processing tasks, which are allocated to two or more processing nodes. The metadata generated by the two or more processing nodes is gathered and visualized on an output unit. | 05-30-2013 |
20130155827 | METHOD AND SYSTEM FOR DETERMINING THE QUALITY OF A STORAGE SYSTEM - In accordance with an exemplary embodiment of the present invention, a method for measuring a quality parameter of an optical storage system comprising a non-diffraction-limited optical storage medium and a readout device, the method comprising the process of deriving an impulse response of the optical storage system, and the process of analyzing the impulse response to determine at least one of a width of the impulse response and a skewness of the impulse response as the quality parameter. | 06-20-2013 |
20130223817 | METHOD AND APPARATUS FOR AUTOMATIC FILM RESTORATION - A method and an apparatus for automatic restoration of an image or a sequence of images, e.g. motion picture films, are disclosed, which facilitate removal of artifacts within the image or the sequence of images. The restoration is split into a detection process, a quality control process, and a removal process. In the detection process artifacts in the image or the sequence of images are detected and information about the detected artifacts is stored in a metadata database. In the subsequent quality control process the information about the detected artifacts is reviewed by an operator. In the removal process one or more of the detected artifacts are removed from the image or the sequence of images based on the information about the detected artifacts stored in the metadata database. | 08-29-2013 |
20140351685 | METHOD AND APPARATUS FOR INTERACTIVE REVIEW OF A DATASET - A method for interactive review of a dataset and an apparatus configured to enable interactive review of a dataset are described. A user request to review the dataset is received via user input. Responsive to this request, a processor generates representative values from the dataset for a coarse view of the dataset and for a fine view of the dataset. A user interface generator then outputs a graphic user interface displaying the coarse view of the dataset and the fine view of the dataset. | 11-27-2014 |
20140351736 | METHOD AND APPARATUS FOR INTERACTIVE REVIEW OF MULTIPLE DATASETS - A method for interactive review of two or more datasets and an apparatus configured to enable interactive review of two or more datasets are described. A first dataset and a second dataset are retrieved via an input. A processor generates representative values from the first dataset for a coarse view of the first dataset and for a fine view of the first dataset. The processor also generates representative values from the second dataset for a coarse view of the second dataset. A user interface generator includes the coarse view of the first dataset, the coarse view of the second dataset, and the fine view of the first dataset in a graphic user interface. Upon reception of a user request via a user input | 11-27-2014 |
20160093062 | METHOD AND APPARATUS FOR ESTIMATING ABSOLUTE MOTION VALUES IN IMAGE SEQUENCES - Absolute motion values between two frames of a sequence of successive image frames are estimated based on a determination of a plurality of pyramid levels of Gaussian pyramid representations of the two frames. The Gaussian pyramid representations of the two frames are pyramid level-wise compared to generate arrays of pixel-by-pixel distance measures between corresponding pyramid levels. Arrays of motion values from the distance measures are pyramid level-wise determined, weighted by level values assigned to the corresponding pyramid levels. Then, recursively from top to bottom pyramid levels, weighted motion values of corresponding motion arrays are transferred to the motion array corresponding to a next lower pyramid level if they exceed the corresponding weighted motion values of said next lower pyramid level. | 03-31-2016 |
20160104269 | METHOD AND APPARATUS FOR DETERMINING A DETECTION OF A DEFECTIVE OBJECT IN AN IMAGE SEQUENCE AS A MISDETECTION - Results of automatic detection of dirt or other non-steady defects in a sequence of digitized image frames can be unreliable. Here, a determination of a detection of a defective object to be replaced by a replacement pattern in a frame of a sequence of image frames as a misdetection is presented that comprises determining a value of a first similarity measure between a boundary of the detected defective object and a boundary of the replacement pattern and determining a value of a second similarity measure between the detected defective object and the replacement pattern. The detection of the defective object is determined as a misdetection if at least one of the following holds true: the value of the first similarity measure is outside of a corresponding first similarity acceptance range and the value of the second similarity measure is inside of a corresponding second similarity acceptance range. | 04-14-2016 |
20160105591 | METHOD AND APPARATUS FOR DETECTING DEFECTS IN DIGITIZED IMAGE SEQUENCES - Dirt or other non-steady defects are detected in a frame of a sequence of digitized image frames. No determination of motion vectors for motion compensation is required. Instead, absolute motion values for a plurality of pixels of the frame relative to a preceding frame and to a succeeding frame of the sequence are determined. Based on the assumption that motion is usually smooth in the sequence, temporal coherence violations between the frame and the preceding frame and between the frame and the succeeding frame are detected for the pixels, depending on the absolute motion values. Pixels of the plurality of pixels are determined as defective if corresponding temporal coherence violations are detected between the frame and the preceding frame and the succeeding frame. | 04-14-2016 |