Abstract: Techniques are disclosed for facilitating digital signal processing in a client-server computing environment. In one embodiment, a local computing device is used to playback a digital media asset that is processed by a digital signal processing server. The local computing device can be configured to provide a user interface that receives a user selection of the segment of the media asset that is to be modified, and responsive to such selection, that instructs the digital signal processing server to segment the media asset accordingly. The “segmented mix”, which includes the user-selected portion of the media asset that is to be modified, is provided to the local computing device for local processing according to the user's instructions. The “main mix”, which comprises the other non-selected portions of the media asset, continues to be processed by the digital signal processing server and provided to the local computing device for playback.

Abstract: Waveform display control techniques of visual characteristics are described. In one or more examples, a method is described of increasing user efficiency in identifying particular sounds in a waveform display of sound data without listening to the sound data. Sound data received by a computing device is partitioned to form a plurality of sound data time intervals. A signature is computed for each of the plurality of sound data time intervals by the computing device based on features extracted from respective said sound data time intervals. The computed signatures are mapped by the computing device to one or more colors. Output of a waveform in a user interface is controlled by the computing device, in which the waveform represents the sound data and each of the sound data time intervals in the waveform have the mapped one or more colors.

Abstract: Waveform display control techniques of visual characteristics are described. In one or more examples, a method is described of increasing user efficiency in identifying particular sounds in a waveform display of sound data without listening to the sound data. Sound data received by a computing device is partitioned to form a plurality of sound data time intervals. A signature is computed for each of the plurality of sound data time intervals by the computing device based on features extracted from respective said sound data time intervals. The computed signatures are mapped by the computing device to one or more colors. Output of a waveform in a user interface is controlled by the computing device, in which the waveform represents the sound data and each of the sound data time intervals in the waveform have the mapped one or more colors.

Abstract: At least one of a probability density for a video and a granularity mapping for the video based upon the probability density are generated at an analytics server. The probability density is calculated according to a predetermined set of points in the video and a pseudo-randomly generated set of points in the video. The probability density is non-degenerate. The granularity mapping for the video provides a mapping of the probability density to the video. The at least one of the probability density and the granularity mapping are sent from the analytics server to a video content server so that the video content server sends the video and the at least one of the probability density, and the granularity mapping to each of a plurality of clients. A set of beacons is generated by the each of the plurality of the clients according to the probability density and the granularity mapping.

Abstract: Techniques are disclosed for facilitating digital signal processing in a client-server computing environment. In one embodiment, a local computing device is used to playback a digital media asset that is processed by a digital signal processing server. The local computing device can be configured to provide a user interface that receives a user selection of the segment of the media asset that is to be modified, and responsive to such selection, that instructs the digital signal processing server to segment the media asset accordingly. The “segmented mix”, which includes the user-selected portion of the media asset that is to be modified, is provided to the local computing device for local processing according to the user's instructions. The “main mix”, which comprises the other non-selected portions of the media asset, continues to be processed by the digital signal processing server and provided to the local computing device for playback.

Abstract: At least one of an initial probability density for a video and an initial granularity mapping for the video based upon the initial probability density are generated at an analytics server. The initial probability density is calculated according to a set of points in the video. A set of beacons is generated by the each of the plurality of the clients according to the at least one of the initial probability density and the initial granularity mapping during playback of the video based on a duration of the playback by the each of the plurality of the clients is received at the analytics server. Further, at least one of an updated probability density and an updated granularity mapping based upon the updated probability density are generated such that a quantity of beacons in the set of beacons is modified.

Abstract: At least one of an initial probability density for a video and an initial granularity mapping for the video based upon the initial probability density are generated at an analytics server. The initial probability density is calculated according to a set of points in the video. A set of beacons is generated by the each of the plurality of the clients according to the at least one of the initial probability density and the initial granularity mapping during playback of the video based on a duration of the playback by the each of the plurality of the clients is received at the analytics server. Further, at least one of an updated probability density and an updated granularity mapping based upon the updated probability density are generated such that a quantity of beacons in the set of beacons is modified.

Abstract: At least one of a probability density for a video and a granularity mapping for the video based upon the probability density are generated at an analytics server. The probability density is calculated according to a predetermined set of points in the video and a pseudo-randomly generated set of points in the video. The probability density is non-degenerate. The granularity mapping for the video provides a mapping of the probability density to the video. The at least one of the probability density and the granularity mapping are sent from the analytics server to a video content server so that the video content server sends the video and the at least one of the probability density, and the granularity mapping to each of a plurality of clients. A set of beacons is generated by the each of the plurality of the clients according to the probability density and the granularity mapping.