Abstract: A sparse motion field exchanges motion information between encoder and decoder. Side information indicates a suitable interpolation approach for interpolating the motion vectors of the dense motion field different from the signaled sparse motion field motion vectors. The side information is provided on a segment basis. The segments are derived at the encoder side and the decoder side similarly, based on the reference images and the sparse motion field.

Abstract: This application provides methods and apparatuses for encoding image or video related data into a bitstream. The present disclosure may be applied in the field of artificial intelligence (AI)-based video or picture compression technologies, and in particular, to the field of neural network-based video compression technologies. A neural network (generalized difference) is applied to a signal and a predicted signal during the encoding to obtain a generalized residual. During the decoding another neural network (generalized sum) may be applied to a reconstructed generalized residual and the predicted signal to obtain a reconstructed signal.

Abstract: A sparse motion field exchanges motion information between encoder and decoder. Side information indicates a suitable interpolation approach for interpolating the motion vectors of the dense motion field different from the signaled sparse motion field motion vectors. The side information is provided on a segment basis. The segments are derived at the encoder side and the decoder side similarly, based on the reference images and the sparse motion field.

Abstract: A method for transmitting a vector having at least two vector components, each of the vector components described in a frequency. Each vector is represented as a bit number with a predetermined number of bit levels. The bit numbers are encoded according to a priority of the bit levels and the encoded bit numbers are transmitted.

Abstract: A method and system for automatic object detection and subsequent object tracking in accordance with the object shape in digital video systems having at least one camera for recording and transmitting video sequences. In accordance with the method and system, an object detection algorithm based on a Gaussian mixture model and expanded object tracking based on Mean-Shift are combined with each other in object detection. The object detection is expanded in accordance with a model of the background by improved removal of shadows, the binary mask generated in this way is used to create an asymmetric filter core, and then the actual algorithm for the shape-adaptive object tracking, expanded by a segmentation step for adapting the shape, is initialized, and therefore a determination at least of the object shape or object contour or the orientation of the object in space is made possible.

Abstract: A method codes a sequence of digital images, each image having the same image format and including a number of pixels with assigned pixel values. Motion parameters between first and second images are determined, where based on said motion parameters a motion compensation is performed for coding the sequence of images, where said motion parameters are included in the coded sequence of images. The motion parameters between a first image and a second image include a scalar field having scalar values for a plurality of image positions in the image format. The scalar field is determined such that gradient vectors derived from the scalar field correspond to motion vectors for the motion compensation.

Abstract: A better compromise between the dynamic range, the spatial resolution, the implementation outlay and the image quality is achieved if different subdivisions of the exposure interval into accumulation intervals are performed for different pixel sensors or pixels. In the event of more than one accumulation interval per exposure interval, the values detected in the accumulation intervals are summed to obtain the respective pixel value. Since the exposure effectively continues to take place for all pixels over the entire exposure interval, no impairment of the image quality arises, or no artifacts arise in image movements. All pixels undergo the same image blur on account of the movement. The additional hardware outlay compared with commercially available pixel sensors is either entirely non-existent or can be kept very small, depending on the implementation. Moreover, a reduction in the spatial resolution is not necessary since the pixels contribute equally to the image capturing.

Abstract: A method and a system for spatial scalable region of interest transcoding of JPEG2000 coded video frames for video surveillance systems. Based on a user defined ROI, the method transcodes HD frames into images in moderate resolution with a ROI in HD resolution. The transcoder extracts all packets belonging to the ROI or the lower resolution levels of the background from the JPEG2000 bitstream. Non-ROI packets of higher resolution levels are replaced by empty packets. The ROI is tracked using a mean shift algorithm to guarantee that always the correct image details are extracted in high resolution. Since the transcoding is performed by extracting and replacing packets of the codestream, an expensive re-encoding of the code-stream is not required. Thus, the transcoding technique is of low complexity and shows a short processing time. Combining the transcoding technique with mean shift tracking leads to a powerful video transcoding technique.

Abstract: A method and system for automatic object detection and subsequent object tracking in accordance with the object shape in digital video systems having at least one camera for recording and transmitting video sequences. In accordance with the method and system, an object detection algorithm based on a Gaussian mixture model and expanded object tracking based on Mean-Shift are combined with each other in object detection. The object detection is expanded in accordance with a model of the background by improved removal of shadows, the binary mask generated in this way is used to create an asymmetric filter core, and then the actual algorithm for the shape-adaptive object tracking, expanded by a segmentation step for adapting the shape, is initialized, and therefore a determination at least of the object shape or object contour or the orientation of the object in space is made possible.

Abstract: In uniform superposition of two predictions toward a weighted superposition, such as in coding B frames, weighting is based on reliability of a reference picture used for determination of the prediction. Since there is a relationship between the reliability and the respective quantization parameter, coupling to the quantization parameter that is also known in the receiver also can be effected advantageously.

Abstract: A method and a system for spatial scalable region of interest transcoding of JPEG2000 coded video frames for video surveillance systems are shown. Based on a user defined ROI the method transcodes HD frames into images in moderate resolution with a ROI in HD resolution. The transcoder extracts all packets belonging to the ROI or the lower resolution levels of the background from the JPEG2000 bitstream. Non-ROI packets of higher resolution levels are replaced by empty packets. The ROI is tracked using a mean shift algorithm to guarantee that always the correct image details are extracted in high resolution. Since the transcoding is performed by extracting and replacing packets of the codestream, an expensive re-encoding of the code-stream is not required. Thus, the transcoding technique is of low complexity and shows a short processing time. Combining the transcoding technique with mean shift tracking leads to a powerful video transcoding technique.

Abstract: In uniform superposition of two predictions toward a weighted superposition, such as in coding B frames, weighting is based on reliability of a reference picture used for determination of the prediction. Since there is a relationship between the reliability and the respective quantization parameter, coupling to the quantization parameter that is also known in the receiver also can be effected advantageously.

Abstract: In uniform superposition of two predictions toward a weighted superposition, such as in coding B frames, weighting is based on reliability of a reference picture used for determination of the prediction. Since there is a relationship between the reliability and the respective quantization parameter, coupling to the quantization parameter that is also known in the receiver also can be effected advantageously.

Abstract: The invention relates to a medical imaging system having a generation apparatus for continuous image data from successive examination images, having an encoding apparatus for the image data for the purpose of compression on the basis of the method of prediction, having an evaluation apparatus for physiological, periodic data for the purpose of determining the repetition rate thereof, and having a memory apparatus for the compressed image data, where the encoding apparatus is connected to the evaluation apparatus, which controls the latter such that the prediction is matched dynamically to the period length of the physiological data. The use of the information from the ECG signal, for example, for the purpose of compressing the original material provides a dynamic frame rate and also the opportunity to control the dependencies of the prediction such that a minimal memory requirement is obtained without loss of data.

Abstract: A method for transmitting a vector having at least two vector components, each of the vector components described in a frequency. Each vector is represented as a bit number with a predetermined number of bit levels. The bit numbers are encoded according to a priority of the bit levels and the encoded bit numbers are transmitted.

Abstract: A method and a communication system are in which a first synchronization message identifying a data transmission method with the highest-level error protection that a first device is capable of executing is transmitted from said first device to a second device. In the second device, the data transmission method is detected from the first synchronization message. In case the detected data transmission method is supported by the second device, a second synchronization message is sent to the first device identifying the detected data transmission method. In the first device, the data transmission method is detected from the second synchronization message, and in case the detected data transmission method can be executed by the first device, the devices are synchronized with the data transmission method.

Abstract: In uniform superposition of two predictions toward a weighted superposition, such as in coding B frames, weighting is based on reliability of a reference picture used for determination of the prediction. Since there is a relationship between the reliability and the respective quantization parameter, coupling to the quantization parameter that is also known in the receiver also can be effected advantageously.

Abstract: The method and apparatus have a shape-adapted transformation coding is in which in the intra-image coding and the inter-image coding different shape-adapted transformation codings are carried out. A first shape-adapted transformation coding takes place in the intra-image coding, and a second shape-adapted transformation coding, different from the first shape-adapted image coding, takes place in the inter-image coding.

Abstract: Digitized pictures are subjected to shape-adaptive transformation coding and a inverse, shaped transformation coding. The signal energy of the coding information of the pixels to be transformed is, in the local area, approximately identical to the signal energy of the coding information of the transformed pixels in the frequency domain.

Abstract: A method for coding a digitized picture includes the steps of providing a picture having a picture object with associated object pixels located in the picture object, dividing the picture at least partly into picture blocks, determining the picture object in the picture, determining at least one object picture block, the at least one object picture block being at least one picture block with at least one object pixel, performing the step of determining the at least one object picture block such that a relative position of an edge of an object picture block of the picture in relation to the picture corresponds to a relative position of an edge of an object picture block of a chronologically preceding picture in relation to the chronologically preceding picture, and coding the picture by using the at least one object picture block. A method for decoding a coded digitized picture as well as configurations for coding and decoding digitized pictures are also provided.