145 results about "Audio watermark" patented technology

Audio signal processing enhances audio watermark embedding and detecting processes. Audio signal processes include audio classification and adapting watermark embedding and detecting based on classification. Advances in audio watermark design include adaptive watermark signal structure data protocols, perceptual models, and insertion methods. Perceptual and robustness evaluation is integrated into audio watermark embedding to optimize audio quality relative the original signal, and to optimize robustness or data capacity. These methods are applied to audio segments in audio embedder and detector configurations to support real time operation. Feature extraction and matching are also used to adapt audio watermark embedding and detecting.

Audio signal processing enhances audio watermark embedding and detecting processes. Audio signal processes include audio classification and adapting watermark embedding and detecting based on classification. Advances in audio watermark design include adaptive watermark signal structure data protocols, perceptual models, and insertion methods. Perceptual and robustness evaluation is integrated into audio watermark embedding to optimize audio quality relative the original signal, and to optimize robustness or data capacity. These methods are applied to audio segments in audio embedder and detector configurations to support real time operation. Feature extraction and matching are also used to adapt audio watermark embedding and detecting.

An identification code signal is hidden in a carrier signal (such as an electronic data signal or a physical medium) in a manner that permits the identification signal later to be discerned. The carrier signal can thereby be identified, or some machine responsive action can thereby be taken. The technique can be applied in video imagery embodiments to control associated video equipment, e.g. to serve as a copy control signal.

A method for embedding an entire image, audio or video watermark sequence within another image, audio or video data sequence with minimum loss of data quality is presented. The method exploits the de-correlation property of data coefficients in the orthogonal transform domain, similar to the application in data compression through transform coding. The present invention describes the usage of a Discrete Cosine Transform as the embedding domain. However, other orthogonal transforms such as Fourier, Walsh-Hadamard, Haar, Sine and Wavelet can also be used for this operation. A unique key derived adaptively from spatial locations registering the thresholds of the ac transform energies is used to unlock or de-watermark the embedded image or audio sequence. Moreover, an exponential filter has been developed to compress and expand the watermark coefficients prior to the embedding and retrieval process. The method can be used in resolving multimedia copyright protection issues arising on the Internet and in the music industry, such as the inclusion of a company's logo or an artist's recorded voice. The method can also be incorporated as a built-in feature for digital recording devices, such as still and video cameras, as well as more recent devices such as VCD and DVD players. Moreover, the method can be applied to the commercial and service sectors, where security in transmission and reception of private information in terms of speech or image is of the utmost importance.

A system and process for highlighting the current speaker on an on-going basis in each frame of a low frame-rate video of an event having multiple people in attendance, such as a video teleconference, is presented. In general, this is accomplished by periodically identifying an attendee that is currently speaking at a rate substantially faster than the video frame rate, and for each frame of the video updating the frame to highlight the attendee currently speaking. More particularly, an A/V source provides video and audio data streams to the client computing device, with current speaker data embedded into the audio stream via audio watermarking techniques. The client device extracts the current speaker data from the audio stream, and then renders and displays the video while using the current speaker data to periodically update the frame being displayed to highlight the current speaker.

An audio watermark signal is associated audio host signal, but is provided separately. When the audio host signal is rendered, a user can control whether—and how strongly—the watermark signal is also rendered. The specification details a great variety of other technologies—most relating to audio and image content, and/or portable devices (e.g., smartphones).

An apparatus and method for embedding and extracting a capturing-resistant audio watermark based on discrete wavelet transform, and a copyright management system using the same are provided. The apparatus for embedding a wavelet based audio watermark includes: a framing unit for dividing an input audio signal into small signals with a regular length; a discrete wavelet transform unit for calculating an mean value of wavelet coefficients by transforming the small signals based on a discrete wavelet transform; and an embedding unit for changing the calculated mean value according to a watermark where a synchronization signal is inserted and inserting the watermark into the audio signal.

The invention discloses an identification method and an identification device for a multimedia file. The identification method for the multimedia file comprises the following steps: obtaining mixed audio data corresponding to a target multimedia, wherein the mixed audio data comprises audio data and audio watermark data of the target multimedia file; extracting the audio watermark data in the mixed audio data; matching the audio watermark data with a preset audio watermark sample to obtain a first matched result; determining a feature sample part corresponding to the first matched result in a preset feature sample; extracting feature information of the audio data in the target multimedia file in the mixed audio data; matching the feature information with the feature sample part to obtain a second matched result; identifying the target multimedia file according to the second matched result. The identification method and device can be used for improving fineness of audio identification.

A system and method are disclosed for real time, distributed, live acoustic performance collaborations having improved security. The distributed collaboration includes multiple artists (performers, artists, engineers, technicians, or directors), at multiple locations. Distinct audio watermarks tag the real time, live performance sent to each remote workstation, to deter illicit duplication and distribution. Only an authorized workstation can obtain the unwatermarked master.

A system for low-latency detection of known audio-video content in multiple audio-video streams, received over a transport multiplex wherein multiple advertisements of different durations are being transmitted over a network. The system includes an ingest module, repositories of content assets, repositories of advertisement assets, a playout server, and network streams. A Watermarking and Fingerprinting (WMFP) module receives multiple advertisements A having audio-video streams, from a Master AV Database, placing an audio watermark on the incoming streams and extracting a high-confidence fingerprint (signature) from each of the watermarked assets A′. Communicating fingerprint signatures and replacement rules to one or more receivers over the Internet. One or more receivers at different locations actively replace detected advertisements having AV content, using a signature detector, with local content assets. The system provides a high confidence match without the disadvantage of an extended and expensive extraction time or false matches.

The invention provides a method for embedding and extracting digital audio watermarks in a time domain on the basis of audio breakpoints, and an energy value of an original audio is directly changed on the basis of the original audio according to a numerical value of watermark information and the energy value of the original audio. Only little change is made on the basis of an original signal, and good robustness, cutting resistance and less information increase of watermarks are guaranteed on the premise that the hearing quality of the original audio is not influenced. In a watermark extraction link, the positions of the embedded watermarks can be automatically screened by an extraction algorithm, information which looks like watermarks in numerical logic is excluded, and the capability of storing original watermark information is provided. According to the method, the watermark information is encrypted. The used watermark extraction scheme is a blind watermark algorithm and can be used for processing audio signals, protecting audio products and the like, only fragmentation information of the original audio and reconstruction parameters of watermark signals are needed, and the participation of the original audio and original watermarks is not needed.

The invention provides a blind audio watermark embedding and watermark extraction processing method. The method includes: dividing an original audio carrier signal into multiple audio subframes at fixed length; respectively calculating norm barycentric coordinates of each audio subframe; selecting audio sampling points of each audio subframe in a certain area by taking the norm barycentric coordinates of the corresponding audio subframe as a center; performing discrete cosine transform on the audio sampling points of each audio subframe, and adaptively and quantitatively embedding watermark information in medium-low-frequency coefficient being subjected to discrete cosine transform; performing inverse transform on discrete cosine transform coefficient after being subjected to adaptive and quantitative embedding of the watermark information to generate audio signals containing the watermark information. Substantive characteristics namely norm barycentric characteristics of the audio signals are utilized, so that robustness of the audio signals is improved, and algorithm safety is guaranteed due to using of a chaotic sequence.

The invention provides a digital audio watermarking method based on an invariant characteristic of a histogram, which is characterized by comprising non-downsampling discrete wavelet transform, frequency domain histogram extraction, digital audio watermarking embedment, and digital audio watermarking detection. The digital audio watermarking method comprises the following steps: firstly carrying out the non-downsampling wavelet transform on original audio watermarking to obtain a low-frequency area with audio information and a high-frequency area with audio information; secondly, extracting the frequency domain histograms with the invariant characteristic from the audio low-frequency area; thirdly, processing the obtained frequency domain histograms, and grouping the frequency domain histograms, wherein each group contains four bins; for each group, the watermarking embedment for each watermarking position is finished by depending on reallocation of coefficients of the adjacent four bins in each group; and finally reaching the purpose of the digital watermarking embedment by revising the coefficient relationship of the adjacent four bins in each group in the frequency domain histograms. The digital audio watermarking method can preferably resist common attacks and synchronization attacks.

The invention discloses a video watermark identification method and device, equipment and a storage medium. The method comprises the following steps: dividing a video frame in a video into two or morethan two image blocks to obtain an image sequence of each video frame; Inputting the image sequence of each video frame into a target detection model to obtain a classification result of each image block, and obtaining a video feature vector according to the classification result of each image block; And inputting the video feature vector into a watermark recognition model, and if the obtained watermark recognition probability is greater than or equal to a probability threshold, determining that the video contains the watermark. According to the embodiment of the invention, each image block is input into the target detection model; a watermark identification result of each video frame is obtained; According to the video watermark identification method and device, the watermark identification result of each video frame is input into the watermark identification model to obtain the watermark identification result of the video, and due to the fact that the watermark identification resultof each video frame is utilized, when the watermark position is not fixed, whether the video contains the watermark can still be accurately identified, and the identification precision of the video watermark is improved.

The invention discloses an audio watermarking method based on the MP3 encoding principle, which belongs to the technical field of multimedia digital watermarks. The method includes two processes, i.e. watermark embedment and watermark extraction; a watermark is embedded into a low-frequency MDCT (Modified Discrete Cosine Transform) coefficient as an encoding process is carried out synchronously; in order to enhance the robustness of the watermark, an appropriate audio segment is chosen in combination with the frequency domain masking effect in a human auditory system to be embedded; and in order to resist desynchronization attacks, a synchronization mechanism is introduced. By processing the encoding process, the method fulfills the injection of the watermark, and the method can effectively resist common audio attacks, and also has good robustness on desynchronization attacks (such as shearing attacks, time scaling and the like). While taking audio watermark robustness into consideration, the method guarantees the auditory invisibility of audio contents, the computational complexity of the algorithm is low, and the method is easy to implement.