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Recently we have witnessed a growing interest in the development of the subband/wavelet coding (SBC) technology, partly due to the superior scalability of SBC. Scalable coding provides great synergy with the universal media access applications, where media content is delivered to client devices of diverse types through heterogeneous channels. In this respect, SBC system provides flexibility in realizing different ways of media scaling, including scaling dimensions of SNR, spatial, and temporal. However, the selection of specific scalability operations given the bit rate constraint has always been ad hoc - a systematic methodology is missing. In this paper, we address this open issue by applying our content-based optimal scalability selection framework and adopting subjective quality evaluation. For this purpose we firstly explore the behavior of SNR-Spatial-Temporal scalability using Motion Compensated (MC) SBC systems. Based on the system behavior, we propose an efficient method for the optimal selection of scalability operator through content- based prediction. Our experiment results demonstrate that the proposed method can efficiently predict the optimal scalability operation with an excellent accuracy. 3 further advanced the work by using bidirectional motion compensation temporal filtering (MCTF). The promising performance of the subband coding system also comes from the usage of embedded coding architecture. Since the nature of subband filtering provides a layered hierarchical representation, it can efficiently organize the transform coefficients based on their energy distribution and correlations in different layers. The embedded coding explores two basic properties of subband coding coefficients: First, coefficients in the same spatial position from different subbands share similar energy behaviors; second, the coefficient magnitude of a higher level subband is statistically smaller than the magnitude of the ones at the same spatial location from a lower level subband. From EZW18 to 3D-EZBC9, embedded coding systems have made significant progress. Interested readers are directed to references 3, 5, 6, 7, 8, 9, 18 for the details. Scalable coding mentioned above like MC-3DSBC presents great synergy with emerging applications in universal media access, where the media content is delivered through various channels to diverse client devices. Due to such heterogeneity, various constraints in resource and preference are imposed. To meet such diverse constraints, MC-3DSBC can be used to facilitate multiple degrees of freedom in adapting a video stream. Based on the spatio-temporal decomposition and layered embedded coding structure, MC-3DSBC provides efficient methods allowing dropping some of the bit planes of wavelet coefficients (thus lowering the SNR), dropping some of the spatial subbands (thus reducing the spatial size), or skipping some of the temporal subbands (thus reducing the frame rate). Such flexibility in multi- dimensional scalability is very useful for meeting the diverse conditions in UMA applications22. In contrast, conventional coding techniques such as MPEG-2, -4 or H.26x do not provide equivalent flexibility in so many dimensions at the same time.

Predicting optimal operation of MC-3DSBC multidimensional scalable video coding using subjective quality measurement