Abstract: Systems and methods of perceptual quality monitoring of video information, communications, and entertainment that can estimate the perceptual quality of video with high accuracy, and can be used to produce quality scores that better correlate with subjective quality scores of an end user. The systems and methods of perceptual quality monitoring of video can generate, from an encoded input video bitstream, estimates of one or more quality parameters relating to the video, such as the coding bit rate parameter, the video frame rate parameter, and the packet loss rate parameter, and provide these video quality parameter estimates to a predetermined video quality estimation model. Because the estimates of the video quality parameters are generated from the encoded input video bitstream as it is being received, the systems and methods are suitable for use as QoE monitoring tools.

Abstract: A device user interface in which language is decoupled from a document is disclosed. The language content is stored separately from the document structure and may be located on a content specific server or on a language server. The language server permits centralized collection of language-related content and language services. The document without the language content acts like a template that can be populated with any type of language-related content. The language content can be provided in a separate file together with associated identifiers, and can be loaded into a cache or document object model (DOM) for processing. An XML file may be used for the language file, and the document may be constructed using HTML code. Document components can be assigned event handlers that cause pop-up boxes to be loaded and displayed with language-related content upon an event trigger.

Abstract: Systems and methods of identifying media content, such as video content, that employ fingerprint matching at the level of video frames. The presently disclosed systems and methods of identifying media content can extract one or more fingerprints from a plurality of video frames included in query video content, and, for each of the plurality of video frames from the query video content, perform frame-level fingerprint matching of the extracted fingerprints against fingerprints extracted from video frames included in a plurality of reference video content. Using the results of such frame-level fingerprint matching, the presently disclosed systems and methods of identifying media content can identify the query content in relation to an overall sequence of video frames from at least one of the plurality of reference content, and/or in relation to respective video frames included in a sequence of video frames from the reference content.

Abstract: Systems and methods of objective video quality measurement based on support vector machines. The video quality measurement systems can obtain information pertaining to features of a target training video, obtain corresponding information pertaining to features of a reference version of the target training video, and employ the target training features and/or the reference training features to build video quality models using such support vector machines. Based on the target training features and/or the reference training features used to build such video quality models, the video quality models can be made to conform more closely to the human visual system. Moreover, using such video quality models in conjunction with target features of a target video whose perceptual quality is to be measured, and/or reference features of a reference video, the video quality measurement systems can be employed to predict measurements of the perceptual quality of such a target video with increased accuracy.