Abstract: A method is disclosed for generating an image of vehicle surroundings, including: providing multiple vehicle cameras which are arranged in particular on a vehicle bodywork of a vehicle (S1). Individual HDR images are calculated and/or generated from image data or images from the vehicle cameras (S2). The multiple individual HDR images are assembled to produce an overall HDR image. An image is calculated having a low dynamic range, in particular an LDR image, from the overall HDR image. An apparatus is also disclosed for generating an image of vehicle surroundings.

Abstract: In one embodiment, a method of operating a processing system includes receiving a reference video and calculating global camera motion parameters for a plurality of the reference video's frames. The method further includes using the camera motion parameters to identify reference video frames corresponding to motion-based events, generating hash values for the identified and neighboring frames in the reference video; and storing the identified frames and hash values. In one version, the method also includes receiving a subject video, calculating global camera motion parameters for the frames of the subject video, using these parameters to identify frames of motion-based events in the subject video, and generating hash values for the identified and neighboring frames in the subject video. The identified frames and hash values of the subject can be compared with those stored for the reference video to evaluate similarity.

Abstract: Methods, apparatuses, and systems directed to video hashing. Video hashing can be used to identify video content in a first video data file with video content of a second video data file. In a particular implementation, video matching or video content identification can be divided into two phases: Feature Extraction and Matching. During a feature extraction phase video material is analyzed and a video fingerprint is generated. The video fingerprint may comprise one video hash or multiple video hashes generated using different video hashing algorithms.