96results about "Broadcast systems characterised by signatures" patented technology

Methods and apparatus to collect audience information associated with a media presentation are described herein. In an example method, the presence of one or more other media metering devices is monitored by a first media metering device associated with a media presentation device. A monitoring operation of the first media metering device is varied based on a presence of the one or more other media metering devices.

A media work may be associated with an action by (a) extracting features from the media work, (b) determining an identification of the media work, based on the features extracted, using a sub-linear time search, such as an approximate nearest neighbor search for example, and (c) determining an action based on the identification of the media work determined. The media work may be an audio work. The features extracted from the work may include (A) a frequency decomposition of a signal of the audio work, (B) information samples of the audio work, (C) average intensities of sampled windows of the audio work, and / or (D) information from frequencies of the audio work.

Systems and methods are provided for gathering audience measurement data relating to receipt of and / or exposure to audio data by an audience member. Audio data is monitored to detect a monitoring code. Based on detection of the monitoring code, a signature characterizing the audio data is extracted.

The invention discloses an interactive method based on multimedia programs, a terminal, a server and a system and belongs to the technical field of networks. The interactive method comprises the steps of obtaining at least segment image information of the multimedia programs in the multimedia program playing process; sending the segment image information, wherein the segment image information are used for being matched with corresponding multimedia programs; receiving interactive information corresponding to the multimedia program information; outputting an interactive interface and performing interaction with the multimedia programs based on interactive operations of the interactive interface. The operations are simple and convenient, and the interactive efficiency is improved.

Hashes are short summaries or signatures of data files which can be used to identify the file. Hashing multimedia content (audio, video, images) is difficult because the hash of original content and processed (e.g. compressed) content may differ significantly. The disclosed method generates robust hashes for multimedia content, for example, audio clips. The audio clip is divided (12) into successive (preferably overlapping) frames. For each frame, the frequency spectrum is divided (15) into bands. A robust property of each band (e.g. energy) is computed (16) and represented (17) by a respective hash bit. An audio clip is thus represented by a concatenation of binary hash words, one for each frame. To identify a possibly compressed audio signal, a block of hash words derived therefrom is matched by a computer (20) with a large database (21). Such matching strategies are also disclosed. In an advantageous embodiment, the extraction process also provides information (19) as to which of the hash bits are the least reliable. Flipping these bits considerably improves the speed and performance of the matching process.

A content segmentation, categorization and identification method on consumer devices (clients) is described. Methods for content tracking are illustrated that are suitable for large scale deployment and applications such as broadcast monitoring, novel content publishing and interaction. Time-aligned (synchronous) applications such as multi-language selection, customized advertisements, second screen services and content monitoring applications can be economically deployed at large scales. The client performs fingerprinting, scene change detection, audio turn detection, and logo detection on incoming video and gathers database search results, logos and text to identify and segment video streams into content, promos, and commercials. A learning engine is configured to learn rules for optimal identification and segmentation at each client for each channel and program. Content sensed at the client site is tracked with reduced computation and applications are executed with timing precision. A method and user interface for time-aligned publishing of content and subsequent usage and interaction on one or more displays is described.