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treaming in itself is a complex process, but it can be made easy by using the correct components The same applies when creating the streaming content on an enterprise scale In this chapter, I will cover enhancements for your streaming enterprise Concepts and technologies such as watermarking, media asset management (specifically related to IBM s Media Production Suite), the issues involved in leveraging rich-media content over the internet, and a case study pointing up the features of video collaboration systems are introduced and dealt with in appropriate detail

similar to a population, while a particle is similar to an individual In simple terms, the particles are own through a multidimensional search space, where the position of each particle is adjusted according to its own experience and that of its neighbors Let xi (t) denote the position of particle i in the search space at time step t; unless otherwise stated, t denotes discrete time steps The position of the particle is changed by adding a velocity, vi (t), to the current position, ie xi (t + 1) = xi (t) + vi (t + 1) with xi (0) U (xmin , xmax ) It is the velocity vector that drives the optimization process, and re ects both the experiential knowledge of the particle and socially exchanged information from the particle s neighborhood The experiential knowledge of a particle is generally referred to as the cognitive component, which is proportional to the distance of the particle from its own best position (referred to as the particle s personal best position) found since the rst time step The socially exchanged information is referred to as the social component of the velocity equation Originally, two PSO algorithms have been developed which di er in the size of their neighborhoods These two algorithms, namely the gbest and lbest PSO, are summarized in Sections 1611 and 1612 respectively A comparison between gbest and lbest PSO is given in Section 1613 Velocity components are decsribed in Section 1614, while an illustration of the e ect of velocity updates is given in Section 1615 Aspects about the implementation of a PSO algorithm are discussed in Section 1616 (161)

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For the global best PSO, or gbest PSO, the neighborhood for each particle is the entire swarm The social network employed by the gbest PSO re ects the star topology (refer to Section 162) For the star neighborhood topology, the social component of the particle velocity update re ects information obtained from all the particles in the swarm In this case, the social information is the best position found by the swarm, referred to as y(t) For gbest PSO, the velocity of particle i is calculated as y vij (t + 1) = vij (t) + c1 r1j (t)[yij (t) xij (t)] + c2 r2j (t)[ j (t) xij (t)] (162)

Insert a new layer Name the top layer hands Name the other layer clock On the Clock layer, draw your clock (minus the hands) and center it by cutting and pasting it or by using the Align panel (Window Align) Lock the Clock layer From the Library (Window Library) drag in the Clock1 symbol If necessary, resize the hands to fit the clock (or vice versa)

where vij (t) is the velocity of particle i in dimension j = 1, , nx at time step t, xij (t) is the position of particle i in dimension j at time step t, c1 and c2 are positive acceleration constants used to scale the contribution of the cognitive and social components respectively (discussed in Section 164), and r1j (t), r2j (t) U (0, 1) are random values in the range [0, 1], sampled from a uniform distribution These random values introduce a stochastic element to the algorithm The personal best position, yi , associated with particle i is the best position the particle has visited since the rst time step Considering minimization problems, the

Watermarking is an excellent way to identify and protect the content of your video assets In essence, the watermarking process embeds a unique symbol in each frame of video Perhaps you ve seen a station or network watermark symbol often displayed in the lower-right corner of your TV monitor screen while watching cable television Most current encoding software, such as Real, Microsoft, and Apple QuickTime, allows for watermarking, as does most video-indexing software

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