Abstract: A method and system for detecting automatic ad detection is presented in which video streams are modified such that features cannot be automatically recognized or statistical parameters and fingerprints derived from the video stream cannot be matched against fingerprints of known video segments in a database.

Abstract: A television signal substitution system that replaces known video segments such as advertisements with selected replacement advertisements. Fingerprint data of known advertisements can be stored in a fingerprint database. When new fingerprint data is available, the fingerprint data can be automatically or manually transmitted to subscribers. Various techniques can be used to identify advertisements based on the fingerprint data.

Abstract: A method and system for detecting automatic ad detection is presented in which video streams are modified such that features cannot be automatically recognized or statistical parameters and fingerprints derived from the video stream cannot be matched against fingerprints of known video segments in a database.

Abstract: A television signal substitution system that replaces known video segments such as advertisements with selected replacement advertisements. Fingerprint data of known advertisements can be stored in a fingerprint database. When new fingerprint data is available, the fingerprint data can be automatically or manually transmitted to subscribers. Various techniques can be used to identify advertisements based on the fingerprint data.

Abstract: A television signal substitution system that replaces known video segments such as advertisements with selected replacement advertisements. Fingerprint data of known advertisements can be stored in a fingerprint database. When new fingerprint data is available, the fingerprint data can be automatically or manually transmitted to subscribers. Various techniques can be used to identify advertisements based on the fingerprint data.

Abstract: A method and system for detecting automatic ad detection is presented in which video streams are modified such that features cannot be automatically recognized or statistical parameters and fingerprints derived from the video stream cannot be matched against fingerprints of known video segments in a database.

Abstract: A television signal substitution system that replaces standard video segments with selected replacement portions. Video segments such as advertisements are detected using techniques such as fingerprinting or manual detection. The detected video segment is replaced with a selected replacement portion and output to an output device.

Abstract: A method and system for detecting automatic ad detection is presented in which video streams are modified such that features cannot be automatically recognized or statistical parameters and fingerprints derived from the video stream cannot be matched against fingerprints of known video segments in a database.

Abstract: An electron beam device having a specimen holder, in particular for a transmission electron microscope (TEM), which makes it possible to identify the specimen holder in a simple manner is described. Therefore, the electron beam device has at least one specimen holder having at least one holding element for holding a specimen and at least one identification unit. Furthermore, the electron beam device has a reading unit for reading the identification unit without contact, a goniometer, into which the specimen holder may be inserted, and a controller for controlling the movement modes of the goniometer, via which the movement modes of the goniometer are controlled on the basis of the identification data supplied by the identification unit and of corresponding data stored in the controller.

Abstract: In general, in one aspect, the disclosure describes a method for specifying regions of interest for video event detection. The method includes receiving a video stream and identifying a region of interest in a video stream. The region of interest is a portion of at least one image of the video stream. The region of interest in the video stream is analyzed to detect a video event in the region of interest.

Abstract: In general, in one aspect, the disclosure describes a method for detecting and acting on a known video entity within a video stream. The method includes receiving a video stream and continually creating statistical parameterized representations for windows of the video stream. The statistical parameterized representation windows are continually compared to windows of a plurality of fingerprints. Each of the plurality of fingerprints includes associated statistical parameterized representations of a known video entity. A known video entity in the video stream is detected when a particular fingerprint of the plurality of fingerprints has at least a threshold level of similarity with the video stream.

Abstract: An electron beam device having a specimen holder, in particular for a transmission electron microscope (TEM), which makes it possible to identify the specimen holder in a simple manner is described. Therefore, the electron beam device has at least one specimen holder having at least one holding element for holding a specimen and at least one identification unit. Furthermore, the electron beam device has a reading unit for reading the identification unit without contact, a goniometer, into which the specimen holder may be inserted, and a controller for controlling the movement modes of the goniometer, via which the movement modes of the goniometer are controlled on the basis of the identification data supplied by the identification unit and of corresponding data stored in the controller.

Abstract: In general, in one aspect, the disclosure describes a method of determining a channel associated with a video stream. The method includes receiving a video stream and identifying a portion of the video stream containing information relevant to channel identification. The identified portion of the video stream is analyzed to determine the channel associated with the video stream.

Abstract: In general, in one aspect, the disclosure describes a method for ending advertisement insertion in a video stream. The method includes receiving a video stream and continually creating statistical parameterized representations for windows of the video stream. The statistical parameterized representation windows are continually compared to windows of a plurality of fingerprints. Each of the plurality of fingerprints includes associated statistical parameterized representations of a known video entity. Advertisements are inserted into the video stream when a fingerprint for a known video entity indicative of a commercial break has at least a threshold level of similarity with the video stream. The inserting is ended when an end of the advertisement break is determined.

Abstract: An ad reselling system that sells targeted advertisements, which replaces standard advertisements in a video signal. The standard advertisements are detected and replaced with the targeted advertisements. Sponsors of the targeted advertisements are billed when their advertisements are used to replace other advertisements.

Abstract: A television signal substitution system that replaces known video segments such as advertisements with selected replacement advertisements. Fingerprint data of known advertisements can be stored in a fingerprint database. When new fingerprint data is available, the fingerprint data can be automatically or manually transmitted to subscribers. Various techniques can be used to identify advertisements based on the fingerprint data.

Abstract: A television signal substitution system that replaces standard video segments with selected replacement portions. Video segments such as advertisements are detected using techniques such as fingerprinting or manual detection. The detected video segment is replaced with a selected replacement portion and output to an output device.