Systems, methods, and computer program products to perform an operation comprising receiving a first unit of video data on a first input/output (I/O) channel, of a plurality of I/O channels of a digital video recorder, computing a first value by applying an error-detecting function to the first unit of video data, attempting to write the first unit of video data to a storage location of a storage device communicably coupled to the digital video recorder, computing, after attempting to write the first unit of video data, a second value by applying the error-detecting function to a data stored at the storage location of the storage device, and upon determining that the first and second values are not equal, storing an indication that the first unit of video data was not successfully written to the storage location of the storage device.

In the present application, for a detailed protocol for realizing supplemental downlink communication in the filed patent, particularly, a system is proposed which performs training processing at high speed by using two-dimensionally developed information. In the present application, compared to the filed patent, a two-dimensional pilot symbol can be used in a display unit, further, introduction of a segment for communication band control using a two-dimensional pilot symbol, training processing using a two-dimensional test pattern for establishing a communication path, and a configuration of a communication frame are clarified, and MIMO processing of communication using video information by a plurality of segments is realized to improve a throughput of an existing portable phone.

In various embodiments, a quality of experience (QoE) prediction application computes a visual quality score associated with a stream of encoded video content. The QoE prediction application also determines a rebuffering duration associated with the stream of encoded video content. Subsequently, the QoE prediction application computes an overall QoE score associated with the stream of encoded video content based on the visual quality score, the rebuffering duration, and an exponential QoE model. The exponential QoE model is generated using a plurality of subjective QoE scores and a linear regression model. The overall QoE score indicates a quality level of a user experience when viewing reconstructed video content derived from the stream of encoded video content.

In various embodiments, a quality of experience (QoE) prediction application computes a visual quality score associated with a stream of encoded video content. The QoE prediction application also determines a rebuffering duration associated with the stream of encoded video content. Subsequently, the QoE prediction application computes an overall QoE score associated with the stream of encoded video content based on the visual quality score, the rebuffering duration, and an exponential QoE model. The exponential QoE model is generated using a plurality of subjective QoE scores and a linear regression model. The overall QoE score indicates a quality level of a user experience when viewing reconstructed video content derived from the stream of encoded video content.

An effect of crosstalk and unnecessary congestion on a transmission path having a plurality of lanes is improved. A source device 210 includes switches 211-1, . . . , and 211-N for respectively connecting TMDS channels 231-1 , . . . , and 231-N to a corresponding signal pin of a transmission unit 211 or ground, and a sink device 220 includes switches 221-1, . . . , and 221-N for respectively connecting TMDS channel 231-1, . . . , and 231-N to a corresponding signal pin of a reception unit 221 or ground. Both the source device 210 and the sink device 220 ground a signal line of the TMDS channels 231-1, . . . , and 231-N which does not perform communication.

The systems and methods described herein optimize the retrieval of missed content by playing back cached content to enable tuners with limited capacity to retrieve the missed content. A content presentation system may receive, with a tuner, a transmission of content comprising media content and advertisements. The content presentation system may cache the advertisements. The content presentation system may determine whether an interruption during the transmission resulted in a missed portion of content and, in response, determine whether an advertisement upcoming at a time period in the transmission of content is cached. If the upcoming advertisement is cached, the content presentation system may play back the cached advertisement at the time period and release the tuner previously receiving the transmission of content to retrieve the missed portion of the content during the time period.

Methods, systems, and apparatuses for improved content delivery are described herein. During delivery of content to one or more user devices of a content distribution network (CDN), a content session may be created for each user device. During each content session, each user device may send one or more upstream communications, such as heartbeat signals and bitrate requests, to the CDN. A monitoring module of the CDN may aggregate the upstream communications into session data. The monitoring module may use the session data to determine an impairment associated with content delivery to the one or more user devices.

A method, a set-top box, and a non-transitory computer readable medium for log based issue prediction. The method includes receiving, on a processing server, system log files from a customer-premises equipment, the system log files containing events that are logged by an operating system of the customer-premises equipment; parsing, by the processing server, the events of the system log files to processes and mapping the processes to one or more components of the customer-premises equipment; extracting, by the processing server, features from the mapped processes of the one or more components of the customer-premises equipment; classifying, by the processing server, the extracted features with a first machine learning algorithm; and predicting, by the processing server, anomalies in one or more components of the customer-premises equipment with a second machine learning algorithm using the classified features from the first machine learning algorithm.

A video modulator is presented. The modulator includes a video input interface, a video modulation circuit, a video output interface, a communication interface, and control circuitry. The video input interface is configured to receive a video signal to be modulated, the video modulation circuit is configured to modulate the video signal, and the video output interface is configured to transmit the modulated video signal. The communication interface is configured to receive a command via a communication link to control the video modulator. The control circuitry is configured to receive the command from the communication interface and to control at least one of the video input interface, the video modulation circuit, and the video output interface based on the command.

A video modulator is presented. The modulator includes a video input interface, a video modulation circuit, a video output interface, a communication interface, and control circuitry. The video input interface is configured to receive a video signal to be modulated, the video modulation circuit is configured to modulate the video signal, and the video output interface is configured to transmit the modulated video signal. The communication interface is configured to receive a command via a communication link to control the video modulator. The control circuitry is configured to receive the command from the communication interface and to control at least one of the video input interface, the video modulation circuit, and the video output interface based on the command.