Abstract: An example computing system receives a media content search query from a controller configured to control media playback by one or more playback devices in a media playback system associated with a plurality of media content services. Based on the search query, the system generates a first set of search queries for the first media content service and a second set of search queries for the second media content service. The computing system receives search results from the first and second media content services and aggregates the search results such that the search results are organized based on (i) categories of media content items corresponding to the search results and (ii) the media content services from which the search results are received. The computing system sends the aggregated search results to the controller for display in their aggregated order.

Abstract: Systems and methods of robust perceptual color identification are disclosed. The methods include a multilevel analysis for determining the robust perceptual color of an object based on observed colors. This multilevel analysis can include a pixel level, a frame level, and/or a sequence level. The determination may make use of color drift matrices and trained functions such as statistical probability functions. The color drift tables and function training are based on training data generated by observing objects of known robust perceptual color in a variety of circumstances. Embodiments of the invention are applicable to the identification and tracking of objects, for example, in a surveillance video system.

Abstract: Systems and methods of robust perceptual color identification are disclosed. The methods include a multilevel analysis for determining the robust perceptual color of an object based on observed colors. This multilevel analysis can include a pixel level, a frame level, and/or a sequence level. The determination may make use of color drift matrices and trained functions such as statistical probability functions. The color drift tables and function training are based on training data generated by observing objects of known robust perceptual color in a variety of circumstances. Embodiments of the invention are applicable to the identification and tracking of objects, for example, in a surveillance video system.