Abstract: A method for a live stream connector includes receiving an input media stream of data with input parameter and transmitting, to a receiving node, the input media stream as packetized data with a header indicating the input parameters. The receiving node is configured with a receiving buffer based on the input parameters of the header and is configured to emit the packetized data to a destination when an amount of delay since receipt of the packetized data satisfies the latency input of the input parameters. The method further includes receiving, from a feedback node, a control packet identifying a missing packet within the transmission. The method also includes identifying that a retransmission buffer includes the missing packet and determining whether a sender buffer includes the identified missing packet. When the sender buffer includes the identified missing packet, the method includes retransmitting the identified missing packet to the receiving node.

Abstract: A method for a live stream connector includes receiving an input media stream of data with input parameter and transmitting, to a receiving node, the input media stream as packetized data with a header indicating the input parameters. The receiving node is configured with a receiving buffer based on the input parameters of the header and is configured to emit the packetized data to a destination when an amount of delay since receipt of the packetized data satisfies the latency input of the input parameters. The method further includes receiving, from a feedback node, a control packet identifying a missing packet within the transmission. The method also includes identifying that a retransmission buffer includes the missing packet and determining whether a sender buffer includes the identified missing packet. When the sender buffer includes the identified missing packet, the method includes retransmitting the identified missing packet to the receiving node.

Abstract: A scalable and high performance near-duplicate image search method utilizing short hashes improves performance over existing methods. By leveraging the shortness of the hashes, the search algorithm analyzes the reliability of each bit of a hash and performs content adaptive hash lookups by adaptively adjusting the “range” of each hash bit based on reliability. Matched features are post-processed to determine the final match results. The method can detect cropped, resized, print-scanned and re-encoded images and pieces from images among thousands of images.

Abstract: Methods and apparatus for detection and identification of duplicate or near-duplicate videos using a perceptual video signature are disclosed. The disclosed apparatus and methods (i) extract perceptual video features, (ii) identify unique and distinguishing perceptual features to generate a perceptual video signature, (iii) compute a perceptual video similarity measure based on the video edit distance, and (iv) search and detect duplicate and near-duplicate videos. A complete framework to detect unauthorized copying of videos on the Internet using the disclosed perceptual video signature is disclosed.

Abstract: Methods and apparatus for detection and identification of duplicate or near-duplicate videos using a perceptual video signature are disclosed. The disclosed apparatus and methods (i) extract perceptual video features, (ii) identify unique and distinguishing perceptual features to generate a perceptual video signature, (iii) compute a perceptual video similarity measure based on the video edit distance, and (iv) search and detect duplicate and near-duplicate videos. A complete framework to detect unauthorized copying of videos on the Internet using the disclosed perceptual video signature is disclosed.

Abstract: Methods and apparatus for detection and identification of duplicate or near-duplicate videos using a perceptual video signature are disclosed. The disclosed apparatus and methods (i) extract perceptual video features, (ii) identify unique and distinguishing perceptual features to generate a perceptual video signature, (iii) compute a perceptual video similarity measure based on the video edit distance, and (iv) search and detect duplicate and near-duplicate videos. A complete framework to detect unauthorized copying of videos on the Internet using the disclosed perceptual video signature is disclosed.

Abstract: A scalable and high performance near-duplicate image search method utilizing short hashes improves performance over existing methods. By leveraging the shortness of the hashes, the search algorithm analyzes the reliability of each bit of a hash and performs content adaptive hash lookups by adaptively adjusting the “range” of each hash bit based on reliability. Matched features are post-processed to determine the final match results. The method can detect cropped, resized, print-scanned and re-encoded images and pieces from images among thousands of images.

Abstract: Methods and apparatus for detection and identification of duplicate or near-duplicate videos using a perceptual video signature are disclosed. The disclosed apparatus and methods (i) extract perceptual video features, (ii) identify unique and distinguishing perceptual features to generate a perceptual video signature, (iii) compute a perceptual video similarity measure based on the video edit distance, and (iv) search and detect duplicate and near-duplicate videos. A complete framework to detect unauthorized copying of videos on the Internet using the disclosed perceptual video signature is disclosed.

Abstract: A computer-interfaced camera system identifies and tracks groups of socially interrelated people. The system can be used, for example, to track people as they wait in a checkout line or at a service counter. In a preferred implementation, each recorded camera frame is segmented into foreground regions containing several people. The foreground regions are further segmented into individuals using temporal segmentation analysis. Once an individual person is detected, an appearance model based on color and edge density in conjunction with a mean-shift tracker is used to recover the person's trajectory. Groups of people are determined by analyzing inter-person distances over time.

Abstract: The present invention provides for processing voice data. The vocalic of at least one word associated with the electronic voice signal is elongated. The magnitude of at least one consonant spike of the at least one word associated with the electronic voice signal is increased. Through the emphasis of the consonants, intelligibility of speech is increased.

Abstract: A computer-interfaced camera system identifies and tracks groups of socially interrelated people. The system can be used, for example, to track people as they wait in a checkout line or at a service counter. In a preferred implementation, each recorded camera frame is segmented into foreground regions containing several people. The foreground regions are further segmented into individuals using temporal segmentation analysis. Once an individual person is detected, an appearance model based on color and edge density in conjunction with a mean-shift tracker is used to recover the person's trajectory. Groups of people are determined by analyzing inter-person distances over time.