Abstract:
Example embodiments disclosed herein relate to perception based multimedia processing. There is provided a method for processing multimedia data, the method includes automatically determining user perception on a segment of the multimedia data based on a plurality of clusters, the plurality of clusters obtained in association with predefined user perceptions and processing the segment of the multimedia data at least in part based on determined user perception on the segment. Corresponding system and computer program products are disclosed as well.
Abstract:
Attributes are identified in media content. A classification value of the media content is computed based on the identified attributes. Thereafter, a fingerprint derived from the media content is stored or searched for based on the classification value of the media content.
Abstract:
Example embodiments disclosed herein relate to perception based multimedia processing. There is provided a method for processing multimedia data, the method includes automatically determining user perception on a segment of the multimedia data based on a plurality of clusters, the plurality of clusters obtained in association with predefined user perceptions and processing the segment of the multimedia data at least in part based on determined user perception on the segment. Corresponding system and computer program products are disclosed as well.
Abstract:
Embodiments of identifying multimedia objects based on multimedia fingerprints are provided. Query fingerprints are derived from a multimedia object according to differing fingerprint algorithms. For each fingerprint algorithm, decisions are calculated through at least one classifier corresponding to the fingerprint algorithm based on the query fingerprint and reference fingerprints, the reference fingerprints being derived from reference multimedia objects according to the same fingerprint algorithm. Each of the decisions indicates a possibility that the query fingerprint and the reference fingerprint are not derived from the same multimedia content. For each of the reference multimedia objects, a distance is calculated as a weighted sum of the decisions relating to the reference fingerprints. The multimedia object is identified as matching the reference multimedia object with the smallest distance less than a threshold.
Abstract:
Embodiments of identifying multimedia objects based on multimedia fingerprints are provided. Query fingerprints are derived from a multimedia object according to differing fingerprint algorithms. For each fingerprint algorithm, decisions are calculated through at least one classifier corresponding to the fingerprint algorithm based on the query fingerprint and reference fingerprints, the reference fingerprints being derived from reference multimedia objects according to the same fingerprint algorithm. Each of the decisions indicates a possibility that the query fingerprint and the reference fingerprint are not derived from the same multimedia content. For each of the reference multimedia objects, a distance is calculated as a weighted sum of the decisions relating to the reference fingerprints. The multimedia object is identified as matching the reference multimedia object with the smallest distance less than a threshold.
Abstract:
A method for audio signal processing is provided. The method includes acquiring a first set of metadata associated with consumption of an audio signal by a target user, acquiring a second set of metadata associated with a set of reference users and generating, at least partially based on the first and second sets of metadata, a recommended configuration of at least one parameter for the target user, the at least one parameter being for use in the consumption of the audio signal. Corresponding apparatus and computer program product are also disclosed.
Abstract:
Attributes are identified in media content. A classification value of the media content is computed based on the identified attributes. Thereafter, a fingerprint derived from the media content is stored or searched for based on the classification value of the media content.
Abstract:
Methods, apparatuses and program logic in non-transitory media to process video data for quality enhancement. Information is accepted from a resource constrained device, e.g., a wireless portable device related to the quality enhancement and/or environmental quantities such as ambient lighting for the device. The video data is processed to achieve quality enhancement using at least some of the accepted information to generate processed output. The processing of the video data includes processing when or where one or more resources sufficient for the processing are available.
Abstract:
Techniques for re-associating dynamic metadata with media data are provided. A media processing system creates, with a first media processing stage, binding information comprising dynamic metadata and a time relationship between the dynamic metadata and media data. The binding information may be derived from the media data. While the first media processing stage delivers the media data to a second media processing stage in a first data path, the first media processing stage passes the binding information to the second media processing stage in a second data path. The media processing system re-associates, with the second media processing stage, the dynamic metadata and the media data using the binding information.
Abstract:
Methods, apparatuses and program logic in non-transitory media to process video data for quality enhancement. Information is accepted from a resource constrained device, e.g., a wireless portable device related to the quality enhancement and/or environmental quantities such as ambient lighting for the device. The video data is processed to achieve quality enhancement using at least some of the accepted information to generate processed output. The processing of the video data includes processing when or where one or more resources sufficient for the processing are available.