This paper describes an original approach which jointly addresses two fundamental issues of video partitioning which represent the early important stage of any content-based video indexing system. These two issues are the detection of shot changes, and the labeling of the shot connguration related to the camera movement in terms of static shot, panning, traveling, zooming,... They are both deri...

Planning by Rewriting (PbR) is a paradigm for efficient high-quality planning that exploits declarative plan rewriting rules and efficient local search techniques to transform an easy-to-generate, but possibly suboptimal, initial plan into a high-quality plan. In addition to addressing planning efficiency and plan quality, PbR offers a new anytime planning algorithm. The plan rewriting rules ca...

The ability of a planner to reuse parts of old plans is hypothesized to be a valuable tool for improving eeciency of planning by avoiding the repetition of the same planning eeort. We test this hypothesis from an analytical and empirical point of view. A comparative worst-case complexity analysis of generation and reuse under diierent assumptions reveals that it is not possible to achieve a pro...

For the multi-attribute tradeoff optimization of critical chain multi-project scheduling (CCMPS), multi-attribute utility function was adopted to conduct comprehensive optimization of time, cost, quality, robustness and the optimization model was established. Using randomness and stability of Normal Cloud Model, cloud genetic algorithm was designed to generate priority of multi-project scheduli...

feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of local binary pattern features. in this paper, we investigate the use of local binary patterns for percep...

this paper presents a comprehensive robust distributed intelligent control for optimum self-healing activities in smart distribution systems considering the uncertainty in loads. the presented agent based framework obviates the requirements for a central control method and improves the reliability of the self-healing mechanism. agents possess three characteristics including local views, decentr...

This article introduces a novel path planning algorithm, called m, that reduces the problem of robot path planning to optimisation of a probabilistic finite state automaton. The m-algorithm makes use of renormalised measure m of regular languages to plan the optimal path for a specified goal. Although the underlying navigation model is probabilistic, the m-algorithm yields path plans that can b...