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645results about "Broadcast observation/testing/troubleshooting" patented technology

Method and apparatus for automatically recognizing input audio and/or video streams

A method and system for the automatic identification of audio, video, multimedia, and / or data recordings based on immutable characteristics of these works. The invention does not require the insertion of identifying codes or signals into the recording. This allows the system to be used to identify existing recordings that have not been through a coding process at the time that they were generated. Instead, each work to be recognized is “played” into the system where it is subjected to an automatic signal analysis process that locates salient features and computes a statistical representation of these properties. These features are then stored as patterns for later recognition of live input signal streams. A different set of features is derived for each audio or video work to be identified and stored. During real-time monitoring of a signal stream, a similar automatic signal analysis process is carried out, and many features are computed for comparison with the patterns stored in a large feature database. For each particular pattern stored in the database, only the relevant characteristics are compared with the real-time feature set. Preferably, during analysis and generation of reference patterns, data are extracted from all time intervals of a recording. This allows a work to be recognized from a single sample taken from any part of the recording.
Owner:ICEBERG IND

Promotion server using video on demand channel

Idle Video-On-Demand (VOD) channel capacity is used to deliver promotional content to selected set-top boxes (STBs) in a cable television network. Commercial segment cues are used to instruct a set-top box to switch away from a broadcast program to the VOD channel during a commercial segment, and then switch back again to the original broadcast program at the end of the segment.
More particularly, a promotion server determines an asset to be distributed such as a targeted promotion item (e.g., a commercial), and a list of STBs that are to receive it. The promotion server causes the video promotion content to be stored in VOD servers located at the head ends. A scheduler process then delivers schedule messages to head end message servers which identify each promotion asset, and an STB which is to receive it. The head end message server notifies its associated VOD server which then cues the asset by loading the asset, starting the asset, but pausing it. Prior to the occurrence of a commercial slot in a broadcast program, an asset trigger is inserted into the broadcast stream at the head end. This asset trigger contains general information concerning the asset to be sent, and an idle VOD channel number. The STB receives the asset trigger and readies itself to tune to the VOD channel when cued for at the beginning of a commercial segment, but does not yet tune to the VOD channel. Upon detection of a commercial cue tone in the broadcast channel, the head end message server sends a tune away trigger to the STB, and also instructs the VOD server to start playing the cued promotion. When the STB receives a tune away trigger, it switches from the broadcast channel being played to the selected idle VOD channel, and the promotion is viewed.
Owner:MICROSOFT TECH LICENSING LLC

Method and apparatus for automatically recognizing input audio and/or video streams

A method and system for the automatic identification of audio, video, multimedia, and / or data recordings based on immutable characteristics of these works. The invention does not require the insertion of identifying codes or signals into the recording. This allows the system to be used to identify existing recordings that have not been through a coding process at the time that they were generated. Instead, each work to be recognized is “played” into the system where it is subjected to an automatic signal analysis process that locates salient features and computes a statistical representation of these properties. These features are then stored as patterns for later recognition of live input signal streams. A different set of features is derived for each audio or video work to be identified and stored. During real-time monitoring of a signal stream, a similar automatic signal analysis process is carried out, and many features are computed for comparison with the patterns stored in a large feature database. For each particular pattern stored in the database, only the relevant characteristics are compared with the real-time feature set. Preferably, during analysis and generation of reference patterns, data are extracted from all time intervals of a recording. This allows a work to be recognized from a single sample taken from any part of the recording.
Owner:ICEBERG IND
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