Abstract: The disclosed computer-implemented method may include identifying data format requirements for one or more machine-learning-based audio/video classifiers. The classifiers may be configured to detect classifiable features of decoded audio/video data. The method may also include decoding once, for the one or more classifiers, a video stream into audio/video data based on the identified data format requirements, and creating a new instance of each of the one or more classifiers. In addition, the method may include transforming the audio/video data for each instance based on the respective data format requirements and providing the respective transformed audio/video data to each instance. The method may also include performing, in parallel, classification of each transformed audio/video data by each respective instance and then terminating each instance of the one or more classifiers. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Methods for treating dermal infection in an appendage of a mammal can include removing, such as by grinding off, a first nail portion of an appendage a mammal to expose a second nail portion of the appendage. A laser absorbing compound can be applied to the second nail portion of the appendage. The second nail portion can be irradiated with a laser of a treatment system to selectively heat the laser absorbing compound. Methods can also include applying a system for treating dermal fungal infection. A system can include a laser, an imaging unit for obtaining infection image data, and/or an alignment stage for receiving an infected portion of a mammal including the dermal fungal infection and aligning the infected portion of the mammal with the laser. A system can also include a control unit for controlling relative movement between the laser and the alignment stage.

Abstract: A commercial detection system generates a probe audio fingerprint of an audio signal associated with a media stream on a broadcast channel and determines whether the media stream has commercial content based on analysis of the probe audio fingerprint. The commercial detection system determines whether a same match between the probe audio fingerprint and a reference audio fingerprint is observed across multiple broadcast channels. Responsive to the number of same matches exceeding a predetermined threshold, the commercial detection system determines that the media stream has commercial content. The commercial detection system may also apply a trained feature analysis model to extracted acoustic features of the audio signal. The commercial detection system determines whether the media stream has commercial content based on a confidence score assigned to the probe audio fingerprint. The commercial detection system reduces false positive detection using program guide information of the media stream.

Abstract: A commercial detection system generates a probe audio fingerprint of an audio signal associated with a media stream on a broadcast channel and determines whether the media stream has commercial content based on analysis of the probe audio fingerprint. The commercial detection system determines whether a same match between the probe audio fingerprint and a reference audio fingerprint is observed across multiple broadcast channels. Responsive to the number of same matches exceeding a predetermined threshold, the commercial detection system determines that the media stream has commercial content. The commercial detection system may also apply a trained feature analysis model to extracted acoustic features of the audio signal. The commercial detection system determines whether the media stream has commercial content based on a confidence score assigned to the probe audio fingerprint. The commercial detection system reduces false positive detection using program guide information of the media stream.

Abstract: A commercial detection system generates a probe audio fingerprint of an audio signal associated with a media stream on a broadcast channel and determines whether the media stream has commercial content based on analysis of the probe audio fingerprint. The commercial detection system determines whether a same match between the probe audio fingerprint and a reference audio fingerprint is observed across multiple broadcast channels. Responsive to the number of same matches exceeding a predetermined threshold, the commercial detection system determines that the media stream has commercial content. The commercial detection system may also apply a trained feature analysis model to extracted acoustic features of the audio signal. The commercial detection system determines whether the media stream has commercial content based on a confidence score assigned to the probe audio fingerprint. The commercial detection system reduces false positive detection using program guide information of the media stream.

Abstract: A commercial detection system generates a probe audio fingerprint of an audio signal associated with a media stream on a broadcast channel and determines whether the media stream has commercial content based on analysis of the probe audio fingerprint. The commercial detection system determines whether a same match between the probe audio fingerprint and a reference audio fingerprint is observed across multiple broadcast channels. Responsive to the number of same matches exceeding a predetermined threshold, the commercial detection system determines that the media stream has commercial content. The commercial detection system may also apply a trained feature analysis model to extracted acoustic features of the audio signal. The commercial detection system determines whether the media stream has commercial content based on a confidence score assigned to the probe audio fingerprint. The commercial detection system reduces false positive detection using program guide information of the media stream.

Abstract: A commercial detection system generates a probe audio fingerprint of an audio signal associated with a media stream on a broadcast channel and determines whether the media stream has commercial content based on analysis of the probe audio fingerprint. The commercial detection system determines whether a same match between the probe audio fingerprint and a reference audio fingerprint is observed across multiple broadcast channels. Responsive to the number of same matches exceeding a predetermined threshold, the commercial detection system determines that the media stream has commercial content. The commercial detection system may also apply a trained feature analysis model to extracted acoustic features of the audio signal. The commercial detection system determines whether the media stream has commercial content based on a confidence score assigned to the probe audio fingerprint. The commercial detection system reduces false positive detection using program guide information of the media stream.

Abstract: A method of formatting information for transmission over a peer-to-peer communication network is provided. The method comprises identifying a graphical nature of the information, and capturing the information based on the graphical nature. The method further comprises identifying a graphical content type associated with the information, and encoding the information based on the graphical content type.

Abstract: A method of sharing information associated with a selected application is provided. The method comprises identifying a media type associated with the information, and capturing the information based on the media type. The method further comprises identifying a content type associated with the information, the content type being related to the media type, encoding the information based on the content type, and providing access to the encoded information over a communication network.