Abstract:
A detection apparatus includes a tuner tuned to the program and a meter coupled to the tuner and arranged to detect content ancillary information from the program tuned by the tuner. The content ancillary information may be a media link, closed captioning information, or the like. The meter may also be arranged to extract a broadcast signature from the program. A comparator compares the broadcast signature to a reference signature selected from a library of reference signatures based upon the content ancillary information. Broadcast signatures from unknown programs may be clustered at least partially on the basis of the content ancillary information.
Abstract:
A method for automatically monitoring the viewing activities of television signals, characterized by providing a measurement device, in which the television signals are adapted to be communicated to the measurement device and the TV set, making the measurement device receive the same signals as the TV set; the measurement device is adapted to extract a fingerprint data from the television signals displayed to the viewers, making the measurement device measures the same video signals as those being seen by the viewers; and the fingerprint data is transferred to a data center; and sending the television signals which the viewers are selected to watch through the measurement device to a fingerprint matcher to be monitored. The method according to the present invention does not require any change to the other devices already in place before the measurement device is introduced into the connections.
Abstract:
The present invention provides novel techniques for generating more robust fingerprints (1) of video signals (2). Certain embodiments of the invention derive video fingerprints only from blocks (21) in a central portion (22) of each frame (20), ignoring a remaining outer portion (23), the resultant fingerprints (1) being more robust with respect to transformations comprising cropping or shifts. Other embodiments divide each frame (or a central portion of it) into non-rectangular blocks, such as pie-shaped or annular blocks, and generate fingerprints from these blocks. The shape of the blocks can be selected to provide robustness against particular transformations. Pie blocks provide robustness to scaling, and annular blocks provide robustness to rotations, for example. Other embodiments use blocks of different sizes, so that different portions of the frame may be given different weighting in the fingerprint.
Abstract:
A computer implemented method, apparatus, and computer program product code for temporal, event-based video fingerprinting. In one embodiment, events in video content are detected. The video content comprises a plurality of video frames. An event represents discrete points of interest in the video content. A set of temporal, event-based segments are generated using the events. Each temporal, event-based segment is a segment of the video content covering a set of events. A time series signal is derived from each temporal, event-based segment using temporal tracking of content-based features of a set of frames associated with the each temporal, event-based segment. A temporal segment based fingerprint is extracted based on the time series signal for the each temporal, event-based segment to form a set of temporal segment based fingerprints associated with the video content.
Abstract:
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.
Abstract:
Systems and methods are provided for gathering audience measurement data relating to receipt of and/or exposure to audio data by an audience member. A signature characterizing the audio data and additional data are obtained, and the audio data is identified based on both.
Abstract:
A portable device is used to capture, in real time, data sufficient to identify an item, such as a product or service promoted, or a music track played, on a broadcast medium such as radio or television. The capture device can be a standalone implementation, or an application program executable on a personal communication device such as a cell phone or Blackberry. The capture device communicates the captured data to a remote server via a selected wired or wireless channel, or the internet, and the server provides services to support the user in responding to the radio or television broadcast item that corresponds to the captured data. The server on demand downloads to the user additional digital content associated with the identified radio broadcast item.
Abstract:
Methods and apparatus to determine audience viewing of video-on-demand programs are disclosed. An example method disclosed herein comprises creating a reference database corresponding to a set of VOD programs, determining whether a VOD program is selected at a subscriber site, extracting at least one identifier from a signal carrying the VOD program, and cross-referencing the at least one identifier with the reference database.
Abstract:
This invention refers to a system and a method of television audience measurements in real time through analysis of the content transmitted by the television broadcasting stations. The system hereby proposed includes a medium of detection of change of tuning state (2) of a television set (1), a means of generation of subscriptions (3) that generates subscriptions containing information on the content emitted by the television set obtained from the detection of change in the tuning state of the television set (1), a management device (30), a means of remittance of subscriptions (4) and an audience central, wherein the medium of remittance of subscriptions (4) sends the subscriptions generated by the medium of generation of subscriptions (3) to the audience central every time the said medium of detection (2) detects a change in the tuning state of the television set (1). This system is structurally simple and allows the measurement of television audience in real time quickly and at a relatively low cost. The method of the invention includes the stages of (a) detection of change of tuning state of a television set, (b) generation of subscriptions containing information on the tuning state of the television set obtained from the detection of change in the tuning state of the television set, (c) management and remittance of the subscriptions to an audience central, (d) comparison of the information contained in the subscriptions sent to the audience central with the information recorded in the audience central referring to the transported broadcasting stations and (e) identification of the broadcasting station that was being viewed at the moment of the generation of the subscriptions. The continuous repetition of stages (a) to (e) every time a change is detected in the tuning state of the television set (1), allows a monitoring in real time of the audiences measured for every one of the broadcasting stations transported to the audience central.
Abstract:
Systems, methods, apparatuses, user interfaces and computer program products provide social and interactive applications for mass media based on real-time ambient-audio and/or video identification.