A novel approach for characterizing multimedia 3D video streams by means of quasiperiodic processes. Issue 6 (September 2016)

• Record Type: Journal Article
• Authors: Nigmatullin, Raoul; Striccoli, Domenico; Boggia, Gennaro; Ceglie, Cristiano
• Is Part Of: Signal, image and video processing. Volume 10:Issue 6(2016)
• Page Start: 1113
• Page End: 1118
• Publication Date: 2016-09
• Subjects: 3D video -- Quasiperiodic processes -- Stream characterization -- Data fitting; Signal processing -- Digital techniques -- Periodicals; Image processing -- Digital techniques -- Periodicals; Digital video -- Periodicals; 621.3822
• DOI: 10.1007/s11760-016-0866-9
• Languages: English
• ISSNs: 1863-1703

Abstract

Abstract This work proposes a novel methodology to describe the low-frequency behaviour of compressed 3D video streams, i.e., their average fluctuations on longer timescales. This study is innovative for two reasons. First, it proves that the low-frequency behaviour of the video data belongs to the class of quasiperiodic processes. Second, it proposes an innovative approach to describe the long-term behaviour through a set of parameters directly derived from the quasiperiodic analysis. Reported results show that the proposed approach is effective in a wide variety of simulation scenarios. Furthermore, it can be easily generalized to other kinds of compressed two-dimensional (2D) streams, whatever be the adopted algorithm, the compression degree, video resolution and format. This opens new unexplored possibilities in the field of 3D video characterization, identification and classification.