Emerging Research on Information Structures

Abstract

AbstractIn previous chapters, the information representation and processing methods from structural perspective were introduced as an effective way of alleviating the effects of inherent issues of complexity and uncertainty existing in wireless communications. It is worth noting that all these methods are derived from a bottom-up point of view, such as the principle shift from bit to structure. In this chapter, unlike the design principle of the aforementioned methods which are based on the intrinsic characteristics and the correlations of data units, ideas with content-oriented information representation are introduced. In particular, inspired by the principles of human cognition, for which a top-down hierarchical framework is likely used to learn underlying structures of an intermediate level, image and video processing schemes for wireless multimedia communications are studied with some exciting results. For example, dictionary-learning based image coding and model-based face video coding methods may be used to enable high efficiency wireless multimedia transmission. Finally, based on the structural processing perspective, an innovative computational communication architecture is introduced for future wireless communications.KeywordsTop-down frameworkContent-oriented information representationDictionary learningModel based video codingComputational communication