This paper presents a generative human motion model for synthesis, retargeting, and editing of personalized human motion styles. We first record a human motion database from mult...
Word-based compression over natural language text has shown to be a good choice to trade compression ratio and speed, obtaining compression ratios close to 30% and very fast decom...
In this paper, we propose an optimization framework for real-time voice transmission over wireless tandem channels prone to both bit errors and packet erasures. Utilizing a hybrid...
This paper focuses on optimal analog mappings for zero-delay, distributed source-channel coding. The objective is to obtain the optimal vector transformations that map between m-d...
Current video coding schemes employ motion compensation to exploit the fact that the signal forms an auto-regressive process along the motion trajectory, and remove temporal redun...
We propose new data structures for navigation in sequences of balanced parentheses, a standard tool for representing compressed trees. The most striking property of our approach is...
Channel-optimized index assignment of source codewords is arguably the simplest way of improving transmission error resilience, while keeping the source and/or channel codes intac...
Xiaolin Wu, Hans D. Mittelmann, Xiaohan Wang, Jia ...
We present a technique that compresses a string w by enumerating all the substrings of w. The substrings are enumerated from the shortest to the longest and in lexicographic order...
This paper presents and evaluates gFPC, a self-tuning implementation of the FPC compression algorithm for double-precision floating-point data. gFPC uses a genetic algorithm to re...