Title :
A higher-order prediction method of spatial cues based on Bayesian Gradient model
Author :
Zhou, Cheng ; Hu, Ruimin ; Wang, Heng
Author_Institution :
Sch. of Comput. Sci., Wuhan Univ., Wuhan, China
Abstract :
The derivation of spatial cues representing source localization information is a typical component of multichannel spatial audio coders such as EAAC+ and MPEG Surround. Efficient compression of spatial cues based on the inter-frame difference distribution of spatial cues is investigated. Using a Bayesian Gradient model, the inter-frame correlations can be predicted more accurately. Results show that the proposed higher-order prediction method for spatial cue compression achieves about 20% bit-rate reduction with respect to the inter-freq differential coding method used in MPEG Surround.
Keywords :
Bayesian methods; Bit rate; Codecs; Computer science; Internet; Prediction methods; Predictive models; Quantization; Transform coding; Wireless communication; Bayesian gradient model; differential coding; higher-order; prediction; spatial cues;
Conference_Titel :
Wireless Communications, Networking and Information Security (WCNIS), 2010 IEEE International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
978-1-4244-5850-9
DOI :
10.1109/WCINS.2010.5541894
