Abstract: In a method for processing microscope images, at least one microscope image is provided as input image for an image processing algorithm. An output image is created from the input image by means of the image processing algorithm. The creation of the output image comprises adding low-frequency components for representing solidity of image structures of the input image to the input image, wherein the low-frequency components at least depend on high-frequency components of these image structures and wherein high-frequency components are defined by a higher spatial frequency than low-frequency components. A corresponding computer program and microscope system are likewise described.

Abstract: A multidimensional system for generating a multimedia search engine is provided. A computer device identifies a plurality of independently separable aspects of a multimedia file. The computing device provides at least one independently separable aspect of the plurality of independently separable aspects as input into an object detection model. The computing device receives, from the object detection model, an identification of at least one object and a corresponding level of confidence that the object is present in the multimedia file. The computing device classifies the object as either confident or not confident, based on whether the level of confidence meets a threshold level of confidence. The computing device generates a multimedia search engine based, at least in part, on the object and the classification.

Abstract: This disclosure relates generally to method and system for tracking motion of subjects in three dimensional space. The method includes receiving a video of the environment using a scene capturing device positioned in the environment. A motion intensity of subjects from the plurality of image frames are detected for segregating the motion of subjects present in each image frame from the plurality of image frames into a plurality of categories. Further, a three dimensional (3D) scene from the plurality of image frames are constructed using the multi focused view based depth calculation technique. The subjects are tracked based on the position in three dimensional (3D) scene categorized under the significant motion category. The proposed disclosure provides efficiency in tracking the new entry of subjects in the environment for adjusting the focus of observer.