In this paper, we propose a novel scalable video coding algorithm based on multiple reference frame method. To improve the coding efficinecy in both base layer and enhancement layer, double reference picture and double motion vector algorithms are employed for motion compensated prediction. Moreover, these two double reference picture and double motion vectot schemes can reduce drift problem, w...

In this paper, we introduce a new motion vector prediction method that could be used within multiple picture reference codecs, such as the H.264 (MPEG-4 AVC) video coding standard. Our method considers for each candidate motion vector the temporal distance of its corresponding reference picture compared to the current one for the generation of the predictor motion vector. This allows for more a...

The purpose of this paper is to provide an algorithm for the motion picture companies to evaluate the key capabilities from firm viewpoint under fuzzy environment. The fundamental concepts we have adopted include the eigenvector method, fuzzy Delphi method, fuzzy set theory, and multi-criteria decision making method. With the concept of balanced scorecard and the interviewing managers of motion...

Using a stochastic representation provided by Wiener-regularized path integrals for the semigroups generated by certain Berezin-Toeplitz operators, a transformation formula for their resolvents is derived. The key property used in the transformation of the stochastic representation is that, up to a time change, Brownian motion is invariant under harmonic morphisms. This result for Berezin-Toepl...

Digital technologies and, especially, the Internet are profoundly reshaping the motion picture industry. Video-on-demand heightens the trend toward digitization and disintermediation. In the short term, the increasing use of digital technologies may result in significant cost reductions throughout the value chain. In the long term, the digitization of film production and distribution may induce...