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The Spark video codec is comprised of an encoder and a decoder The encoder (or compressor) is the component in Spark that compresses your content The decoder (or decompressor) is the component that decompresses the compressed content so that it can be viewed The decoder is included in the Flash Player About compression There are two different types of compression that can be applied to digital media: spatial and temporal Temporal compression identifies the differences between frames and stores only those differences, so that frames are described based on their difference from the preceding frame Unchanged areas are simply repeated from the previous frame(s) A temporally compressed frame is often referred to as an interframe Spatial compression, on the other hand, is applied to a single frame of data, independent of any surrounding frames.

17121 J2EE-SKIT Subsystem Identi cation Table 171 contains a brief overview of each of the seven major subsystems de ned within the starter kit The starter kit provides a simple implementation for each of these subsystems This table lists the name, the implementation location, and a brief description for each subsystem Regardless of where they are implemented, each of these subsystems (except for the DdbmsClient) is represented by interfaces de ned within the framework These interfaces and implementations are merely starting points for the nal implementations in a particular DDBE project This way, on a project-by-project basis, we can choose to reuse the simple implementations for those areas that we are not focused on in the project and choose to create our own more detailed designs and implementations for those areas that we are focused on in the project.

11.5 Remediating contaminated groundwaters 11.5.1 Making decisions about groundwater remediation Sometimes all preventative actions fail, and we have a body of contaminated groundwater to deal with. Before considering what technical options might exist for remediating the contamination, it is important to ask a number of more fundamental questions, such as:

These implementations also allow us to develop simple prototypes and proof-of-concept projects quickly The subsystems in the starter kit provide a minimal implementation for the fundamental operations necessary in a generic DDBE architecture In particular, as a whole, they act as a design pattern namely, a Template Method [Gamma95] We use this pattern to connect the subsystems together in a reasonable (but modi able and extensible) con guration For example, suppose we wanted to focus on query optimization Using the starter kit, we have a suf cient implementation for the Parser and Quali er subsystems Now, we can focus on the Planner subsystem, and perhaps the Dem and Lem subsystems as well.

Spatial compression can be lossless (in which no data is discarded from the image) or lossy (in which data is selectively discarded) A spatially compressed frame is often referred to as an intraframe Sorenson Spark is an interframe codec Sorenson Spark s efficient interframe compression is part of what separates it from other compression technologies, requiring a much lower data rate than most other codecs to produce good-quality video Many other codecs use intraframe compression; for example, JPEG is an intraframe codec However, interframe codecs also use intraframes The intraframes are used as the reference frames (keyframes) for the interframes Sorenson Spark always begins with a keyframe Each keyframe becomes the main reference frame for the following interframes Whenever the next frame is significantly different from the previous frame, the codec compresses a new keyframe.

CONCLUSION In this chapter, we have argued that an understanding of team functioning in sport will be enhanced if the topic is studied from a social-cognitive perspective. Traditionally, team functioning in sport has been considered predominantly from a social perspective, and research on cognitive aspects of sports performance has been concerned predominantly with the individual. Consequently, little attention has been paid to interactions between an individual s cognition and the social processes and settings of teams. Specifically, we have proposed that the adoption of a social-cognitive perspective on team functioning will allow greater insight into (a) the cognitive affects of social processes inherent to teams and on which the extant research on teams in sport has been focused; ( b) how the social properties and process inherent to teams affect team cognition, such as that underlying team decision making; and (c) how a team achieves coordination. There are limitations to the research in I /O psychology and on social cognition. The concepts proposed in these domains have tended to be theoretically well developed but lacking in extensive empirical support. This claim is made even by those from within the domain (Rentsch & Davenport, in press). Furthermore, although it would be difficult to argue against the claim that it is self-evident that coordination is an important component of team performance, there have been few attempts in the I /O domain to measure coordination and successfully relate it to performance outcome measures. In addition, some authors (e.g., Eccles &