Abstract: The disclosed technology is a system and computer-implemented method for assembling and editing a video program from spoken words or soundbites. The disclosed technology imports source audio/video clips and any of multiple formats. Spoken audio is transcribed into searchable text. The text transcript is synchronized to the video track by timecode markers. Each spoken word corresponds to a timecode marker, which in turn corresponds to a video frame or frames. Using word processing operations and text editing functions, a user selects video segments by selecting corresponding transcribed text segments. By selecting text and arranging that text, a corresponding video program is assembled. The selected video segments are assembled on a timeline display in any chosen order by the user. The sequence of video segments may be reordered and edited, as desired, to produce a finished video program for export.

Abstract: The disclosed technology is a system and computer-implemented method for assembling and editing a video program from spoken words or soundbites. The disclosed technology imports source audio/video clips and any of multiple formats. Spoken audio is transcribed into searchable text. The text transcript is synchronized to the video track by timecode markers. Each spoken word corresponds to a timecode marker, which in turn corresponds to a video frame or frames. Using word processing operations and text editing functions, a user selects video segments by selecting corresponding transcribed text segments. By selecting text and arranging that text, a corresponding video program is assembled. The selected video segments are assembled on a timeline display in any chosen order by the user. The sequence of video segments may be reordered and edited, as desired, to produce a finished video program for export.

Abstract: The disclosed technology is a system and computer-implemented method for assembling and editing a video program from spoken words or soundbites. The disclosed technology imports source audio/video clips and any of multiple formats. Spoken audio is transcribed into searchable text. The text transcript is synchronized to the video track by timecode markers. Each spoken word corresponds to a timecode marker, which in turn corresponds to a video frame or frames. Using word processing operations and text editing functions, a user selects video segments by selecting corresponding transcribed text segments. By selecting text and arranging that text, a corresponding video program is assembled. The selected video segments are assembled on a timeline display in any chosen order by the user. The sequence of video segments may be reordered and edited, as desired, to produce a finished video program for export.

Abstract: The disclosed technology is a system and computer-implemented method for assembling and editing a video program from spoken words or soundbites. The disclosed technology imports source audio/video clips and any of multiple formats. Spoken audio is transcribed into searchable text. The text transcript is synchronized to the video track by timecode markers. Each spoken word corresponds to a timecode marker, which in turn corresponds to a video frame or frames. Using word processing operations and text editing functions, a user selects video segments by selecting corresponding transcribed text segments. By selecting text and arranging that text, a corresponding video program is assembled. The selected video segments are assembled on a timeline display in any chosen order by the user. The sequence of video segments may be reordered and edited, as desired, to produce a finished video program for export.

Abstract: The technology disclosed relates to data captured in streams from sensors. Streams often are edited, especially video and audio data streams. In particular, the technology disclosed facilitates identification of segments of an originally captured stream that find their way into a finally edited stream and identification of changed segments in the finally edited stream. Summary analysis on self-aligned meta-blocks of stream data is described, along with pushing at least some self-aligned meta-hashes into a blockchain network, applying an alignment and hashing procedure described in a smart contract.

Abstract: An ultrasonic cleaning apparatus comprising: a tank for in use receiving a cleaning liquid and an item to be cleaned; a plurality of transducers arranged, when driven, to direct ultrasonic pressure waves into the tank; and a controller arranged in use to drive the transducers. First and second transducers from the plurality of transducers are arranged in use to direct ultrasonic pressure waves into an overlapping volume; and the controller is arranged in use to drive the first and second transducers to produce ultrasonic pressure waves at different frequencies from each other. The controller is arranged to in use produce first and second drive signals for the transducers using first and second frequency generators to each switch between primary and secondary operation, with the sequential switching taking place to cause different combinations of primary and secondary operation for the first and second frequency generators to occur over time.

Abstract: The technology disclosed relates to data captured in streams from sensors. Streams often are edited, especially video and audio data streams. In particular, the technology disclosed facilitates identification of segments of an originally captured stream that find their way into a finally edited stream and identification of changed segments in the finally edited stream. Summary analysis on self-aligned meta-blocks of stream data is described, along with pushing at least some self-aligned meta-hashes into a blockchain network, applying an alignment and hashing procedure described in a smart contract.

Abstract: The technology disclosed relates to data captured in streams from sensors. Streams often are edited, especially video and audio data streams. In particular, the technology disclosed facilitates identification of segments of an originally captured stream that find their way into a finally edited stream and identification of changed segments in the finally edited stream. Summary analysis on self-aligned meta-blocks of stream data is described, along with pushing at least some self-aligned meta-hashes into a blockchain network, applying an alignment and hashing procedure described in a smart contract.

Abstract: An ultrasonic cleaning apparatus comprising: a tank for in use receiving a cleaning liquid and an item to be cleaned; a plurality of transducers arranged, when driven, to direct ultrasonic pressure waves into the tank; and a controller arranged in use to drive the transducers. First and second transducers from the plurality of transducers are arranged in use to direct ultrasonic pressure waves into an overlapping volume; and the controller is arranged in use to drive the first and second transducers to produce ultrasonic pressure waves at different frequencies from each other. The controller is arranged to in use produce first and second drive signals for the transducers using first and second frequency generators to each switch between primary and secondary operation, with the sequential switching taking place to cause different combinations of primary and secondary operation for the first and second frequency generators to occur over time.