Shih-Fu Chang. Compositing and Manipulation of Video Signals for Multimedia Network Video Services. PhD Thesis Dept. of EECS, U.C. Berkeley, August 1993.
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Multimedia network video services, like multi-point video conferencing and multimedia desktop editing/publishing, require real-time high-performance video signal compositing and manipulation. This dissertation investigates three different degrees of freedom for designing video compositing/manipulation systems: feature, location, and data format. Our goal is to provide a systematic approach to network video compositing/ manipulation by integrating the explorations in all degrees of freedom, and by accounting for the interactions among themselves and with other multimedia technologies, in particular video compression. Representative compositing features include geometrical transformations, linear filtering, opaque/semi-transparent overlapping, pixel multiplication, and arbitrarily-shaped (AS) video objects. We propose a structured video model, based on which we present several hierarchical structures for representing compositing functions, and study their restructuring properties. We characterize various performance factors for different compositing locations throughout the network. We also propose a shared distributed compositing principle to match various user/service requirements and optimize the overall system performance in multimedia networks. By processing less data and avoiding the data format conversion, the compressed-domain compositing approach has the potential to reduce the computational complexity for video compositing/manipulation, and thus the hardware cost. We derive equivalent compositing algorithms in the Discrete Cosine Transform (DCT) domain. We also propose a new decoding algorithm to partially decode Motion Compensated DCT-based compressed video signals to the DCT domain and apply our proposed DCT-domain compositing algorithms in the DCT domain. We compare the computational complexity of this proposed approach to the traditional uncompressed-domain approach both analytically and numerically. Its computational speedup depends on the specific compositing functions and the compression characteristics of video sequences. We extend our compositing/manipulation techniques to arbitrarily-shaped (AS) image segments. In particular, we study efficient coding schemes for the internal image pixels and the boundary shape. We also propose a new joint approach for shape representation and anti-aliasing along the object boundary
@PhdThesis{dvmmPub185,
Author = {Chang, Shih-Fu},
Title = {Compositing and Manipulation of Video Signals for Multimedia Network Video Services},
School = {Dept. of EECS, U.C. Berkeley},
Month = {August},
Year = {1993}
}
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