Abstract: Provided are a computer system for transmitting audio content to realize a user-customized being-there and a method thereof. The computer system may be configured to detect audio files that are generated for a plurality of objects at a venue, respectively, and metadata including spatial features that are set for the objects at the venue, respectively, and to transmit the audio files and the metadata for a user. An electronic device of the user may realize a being-there at the venue by rendering the audio files based on the spatial features in the metadata. That is, the user may feel a user-customized being-there as if the user directly listens to audio signals generated from corresponding objects at a venue in which the objects are provided.

Abstract: Described is a method for estimating throughput between first and second communication devices, the method comprising: determining maximum bottleneck throughput of a communication link between the first communication device and a third communication device, wherein the communication link between the first and third communication devices applies a common access network as between a communication link between the first and second communication devices; determining Round Trip Time (RTT) between the first and second communication devices; transmitting packet by applying User Datagram Protocol (UDP) from the third communication device to the first communication device; measuring packet loss rate associated with the transmitted packet by monitoring sequence number of the packet; and translating measured packet loss rate to Transmission Control Protocol (TCP) throughput according to maximum bottleneck throughput and RTT.

Abstract: Described is a method for estimating throughput between first and second communication devices, the method comprising: determining maximum bottleneck throughput of a communication link between the first communication device and a third communication device, wherein the communication link between the first and third communication devices applies a common access network as between a communication link between the first and second communication devices; determining Round Trip Time (RTT) between the first and second communication devices; transmitting packet by applying User Datagram Protocol (UDP) from the third communication device to the first communication device; measuring packet loss rate associated with the transmitted packet by monitoring sequence number of the packet; and translating measured packet loss rate to Transmission Control Protocol (TCP) throughput according to maximum bottleneck throughput and RTT.

Abstract: Described is a method for estimating throughput between first and second communication devices, the method comprising: determining maximum bottleneck throughput of a communication link between the first communication device and a third communication device, wherein the communication link between the first and third communication devices applies a common access network as between a communication link between the first and second communication devices; determining Round Trip Time (RTT) between the first and second communication devices; transmitting packet by applying User Datagram Protocol (UDP) from the third communication device to the first communication device; measuring packet loss rate associated with the transmitted packet by monitoring sequence number of the packet; and translating measured packet loss rate to Transmission Control Protocol (TCP) throughput according to maximum bottleneck throughput and RTT.

Abstract: A chum predictor predicts whether a customer is likely to chum. The chum predictor is built and trained from data collected from mul-tiple customers. The data can include static configuration data and dynamic measured data. A chum predictor builder generates multiple customer in-stances and processes the instances based on the collected data, and based on separating the instances into one or more training subsets. Based on the pro-cessing, the builder generates and saves a chum predictor. The chum predictor can access data for a customer and generate a customer instancance and generates a chum likelihood score. Based on a chum type, the chum predictor system can generate preventive action for the customer.

Abstract: Described is a method for estimating throughput between first and second communication devices, the method comprising: determining maximum bottleneck throughput of a communication link between the first communication device and a third communication device, wherein the communication link between the first and third communication devices applies a common access network as between a communication link between the first and second communication devices; determining Round Trip Time (RTT) between the first and second communication devices; transmitting packet by applying User Datagram Protocol (UDP) from the third communication device to the first communication device; measuring packet loss rate associated with the transmitted packet by monitoring sequence number of the packet; and translating measured packet loss rate to Transmission Control Protocol (TCP) throughput according to maximum bottleneck throughput and RTT.

Abstract: Described is a method for estimating throughput between first and second communication devices, the method comprising: determining maximum bottleneck throughput of a communication link between the first communication device and a third communication device, wherein the communication link between the first and third communication devices applies a common access network as between a communication link between the first and second communication devices; determining Round Trip Time (RTT) between the first and second communication devices; transmitting packet by applying User Datagram Protocol (UDP) from the third communication device to the first communication device; measuring packet loss rate associated with the transmitted packet by monitoring sequence number of the packet; and translating measured packet loss rate to Transmission Control Protocol (TCP) throughput according to maximum bottleneck throughput and RTT.

Abstract: A method is described for streaming video data within a network, wherein the video data includes a sequence of frames. The method includes encoding the sequence of frames and generating a plurality of substreams from the encoded frames in this embodiment. Each of the plurality of substreams is assigned an identifier, and each substream includes a common encoded frame and a non-overlapping portion of the encoded sequence. The non-overlapping portion of the encoded sequence of each substream is selected from the encoded frames based on the identifier of the respective substream. The method also includes transmitting the plurality of substreams to a receiver in an embodiment.

Abstract: In accordance with embodiments disclosed herein, there are provided apparatus, systems and methods for optimizing DSL line configurations and parameters in a DSL system.

Abstract: Described is a method for estimating throughput between first and second communication devices, the method comprising: determining maximum bottleneck throughput of a communication link between the first communication device and a third communication device, wherein the communication link between the first and third communication devices applies a common access network as between a communication link between the first and second communication devices; determining Round Trip Time (RTT) between the first and second communication devices; transmitting packet by applying User Datagram Protocol (UDP) from the third communication device to the first communication device; measuring packet loss rate associated with the transmitted packet by monitoring sequence number of the packet; and translating measured packet loss rate to Transmission Control Protocol (TCP) throughput according to maximum bottleneck throughput and RTT.

Abstract: A churn predictor predicts whether a customer is likely to churn. The churn predictor is built and trained from data collected from multiple customers. The data can include static configuration data and dynamic measured data. A churn predictor builder generates multiple customer instances and processes the instances based on the collected data, and based on separating the instances into one or more training subsets. Based on the processing, the builder generates and saves a churn predictor. The churn predictor can access data for a customer and generate a customer instance for evaluation against the training data. The churn predictor processes the customer instance and generates a churn likelihood score. Based on a churn type, the churn predictor system can generate preventive action for the customer.

Abstract: In accordance with embodiments disclosed herein, there are provided apparatus, systems and methods for optimizing DSL line configurations and parameters in a DSL system.

Abstract: A system for enabling streaming video to a mobile client includes a plurality of fixed node peers linked to the mobile client via one or more networks as well as a video source linked to fixed node peers and configured to provide streaming video data representing a video presentation to each of the fixed node peers. A decoder assembly associated with each of the fixed node peers is configured to decode the streaming video data and to transcode a portion of the decoded streaming video data for transmission to the mobile client. A video substream manager and interleaver on the mobile client is provided for receiving the transcoded output of the decoder assemblies of the fixed node peers and reconstructing the video presentation on a screen of the mobile client.

Abstract: A method for streaming audio data in a network, the audio data having a sequence of samples, includes encoding the sequence of samples into a plurality of coded base bitstreams, generating a plurality of enhancement streams, and transmitting the coded base bitstreams and the enhancement bitstreams to a receiver for decoding. Each of the enhancement bitstreams is generated from one of a plurality of non-overlapping portions of the sequence of samples.

Abstract: A system for enabling streaming video to a mobile client includes a plurality of fixed node peers linked to the mobile client via one or more networks as well as a video source linked to fixed node peers and configured to provide streaming video data representing a video presentation to each of the fixed node peers. A decoder assembly associated with each of the fixed node peers is configured to decode the streaming video data and to transcode a portion of the decoded streaming video data for transmission to the mobile client. A video substream manager and interleaver on the mobile client is provided for receiving the transcoded output of the decoder assemblies of the fixed node peers and reconstructing the video presentation on a screen of the mobile client.

Abstract: A method for streaming audio data in a network, the audio data having a sequence of samples, includes encoding the sequence of samples into a plurality of coded base bitstreams, generating a plurality of enhancement streams, and transmitting the coded base bitstreams and the enhancement bitstreams to a receiver for decoding. Each of the enhancement bitstreams is generated from one of a plurality of non-overlapping portions of the sequence of samples.

Abstract: A method is described for streaming video data within a network, wherein the video data includes a sequence of frames. The method includes encoding the sequence of frames and generating a plurality of substreams from the encoded frames in this embodiment. Each of the plurality of substreams is assigned an identifier, and each substream includes a common encoded frame and a non-overlapping portion of the encoded sequence. The non-overlapping portion of the encoded sequence of each substream is selected from the encoded frames based on the identifier of the respective substream. The method also includes transmitting the plurality of substreams to a receiver in an embodiment.

Abstract: Systems, devices and methods for supporting live and time-shifted video streaming via distributed search methods for registering and locating cached portions of video streams shared in peer-to-peer systems.

Abstract: Systems, devices and methods for supporting live and time-shifted video streaming via distributed caching of portions of video streams shared in peer-to-peer portions of systems.

Abstract: Packet-based delivery of video content is facilitated using a peer-to-peer network. According to an example embodiment of the present invention, a packet-based video stream is passed over a peer-to-peer network, with the packets in the stream scheduled and delivered in accordance with a priority assigned to the packets; this priority is based upon a determined or estimated effect that the packet will have upon video quality at a recipient peer. In some applications, the packets are temporally spaced to mitigate congestion and/or distortion of video associated with congestion in the delivery of the packets.