US Patent Application 18246029. HIERARCHICAL SPATIAL RESOLUTION CODEC simplified abstract
Contents
HIERARCHICAL SPATIAL RESOLUTION CODEC
Organization Name
Inventor(s)
Dipanjan Sen of Dublin CA (US)
Moo Young Kim of San Diego CA (US)
Frank Baumgarte of Sunnyvale CA (US)
Sina Zamani of Cupertino CA (US)
Aram Lindahl of Menlo Park CA (US)
HIERARCHICAL SPATIAL RESOLUTION CODEC - A simplified explanation of the abstract
This abstract first appeared for US patent application 18246029 titled 'HIERARCHICAL SPATIAL RESOLUTION CODEC
Simplified Explanation
- The patent application describes a hierarchical spatial resolution codec for adaptive adjustment of immersive audio content representations based on changes in target bandwidth. - The codec can represent audio content using different types such as channels/objects and higher-order ambisonics (HOA). - Adaptive spatial coding techniques are used to support the target bitrate of a transmission channel or user. - Adaptive channel/object spatial encoding techniques are employed to generate an adaptive number of channels/objects based on priority. - Adaptive HOA spatial encoding or HOA compression techniques are used to generate an adaptive order of the HOA. - The adaptation is determined by the target bitrate associated with desired quality and an analysis of channel, object, and HOA priorities. - High priority channels/objects are encoded into a high-quality bit-stream, while low priority channels/objects may be converted and encoded as HOA.
Original Abstract Submitted
Disclosed is a hierarchical spatial resolution codec that adaptively adjusts the representations of immersive audio content as the target bandwidth for delivering the audio content changes. The audio content may be represented by an adaptive number of content types such as channels/objects, higher-order ambisonics (HOA), and encoded by adaptive spatial coding techniques to support the target bitrate of a transmission channel or user. Adaptive spatial coding techniques may include adaptive channel/object spatial encoding techniques to generate an adaptive number of channels/objects, and adaptive HOA spatial encoding or HOA compression techniques to generate an adaptive order of the HOA. The adaptation may be a function of the target bitrate that is associated with a desired quality, and an analysis that determines the priority of the channels, objects, and HOA. High priority channels/objects may be encoded into a high quality bit-stream while low priority channels/objects may be converted and encoded as HOA.
