This collection offers a set of essays that discuss the new technology of memory from a variety of perspectives that explicitly investigate their impact on the very concept of the social.

An eminent psychologist offers a major new theory of human cognition: movement, not language, is the foundation of thought When we try to think about how we think, we can't help but think of words. Indeed, some have called language the stuff of thought. But pictures are remembered far better than words, and describing faces, scenes, and events defies words. Anytime you take a shortcut or play chess or basketball or rearrange your furniture in your mind, you've done something remarkable: abstract thinking without words. In Mind in Motion, psychologist Barbara Tversky shows that spatial cognition isn't just a peripheral aspect of thought, but its very foundation, enabling us to draw meaning from our bodies and their actions in the world. Our actions in real space get turned into mental actions on thought, often spouting spontaneously from our bodies as gestures. Spatial thinking underlies creating and using maps, assembling furniture, devising football strategies, designing airports, understanding the flow of people, traffic, water, and ideas. Spatial thinking even underlies the structure and meaning of language: why we say we push ideas forward or tear them apart, why we're feeling up or have grown far apart. Like Thinking, Fast and Slow before it, Mind in Motion gives us a new way to think about how--and where--thinking takes place.

This debut collection explores memory, cities, motion. Tung-Hui Hu's tone has some of the swampy wit that recalls Calvino or Michaux: A man swaps bodies with his lover; a mapmaker holds captive a city, which needs his crystal telescope to navigate through streets "unreadable as palm lines"; a car pushed off a cliff in a fit of anger becomes home for a school of fish. Anchored by the sequence "Elegies for self," Hu's poetry brings a quiet sophistication to syntax, diction, and form.

The ad image has become the focus of ad research, and to a certain extent this is justified. To understand how the ad image is received, the tradition of advertising creators, planners and buyers have asserted it is based on memory. Specifically, it is rooted in affective memory in which the unconscious plays a role. The other side is cognitive, where the image may be received, but less affectively. Today, neuroscience is being deployed to validated current findings in order to prove advertising legitimization. The biggest companies are involved in the business of using technological reading of biomedicine to validate claims. However, the theoretical apparatuses remain the same as before. This book demonstrates a short critique of the theories and technology trending within the industry and demonstrates how the industry should be looking at the phenomenological foundations of memory as a body kinesthetic engagement before the image.

MPEG-4 is the multimedia standard for combining interactivity, natural and synthetic digital video, audio and computer-graphics. Typical applications are: internet, video conferencing, mobile videophones, multimedia cooperative work, teleteaching and games. With MPEG-4 the next step from block-based video (ISO/IEC MPEG-1, MPEG-2, CCITT H.261, ITU-T H.263) to arbitrarily-shaped visual objects is taken. This significant step demands a new methodology for system analysis and design to meet the considerably higher flexibility of MPEG-4. Motion estimation is a central part of MPEG-1/2/4 and H.261/H.263 video compression standards and has attracted much attention in research and industry, for the following reasons: it is computationally the most demanding algorithm of a video encoder (about 60-80% of the total computation time), it has a high impact on the visual quality of a video encoder, and it is not standardized, thus being open to competition. Algorithms, Complexity Analysis, and VLSI Architectures for MPEG-4 Motion Estimation covers in detail every single step in the design of a MPEG-1/2/4 or H.261/H.263 compliant video encoder: Fast motion estimation algorithms Complexity analysis tools Detailed complexity analysis of a software implementation of MPEG-4 video Complexity and visual quality analysis of fast motion estimation algorithms within MPEG-4 Design space on motion estimation VLSI architectures Detailed VLSI design examples of (1) a high throughput and (2) a low-power MPEG-4 motion estimator. Algorithms, Complexity Analysis and VLSI Architectures for MPEG-4 Motion Estimation is an important introduction to numerous algorithmic, architectural and system design aspects of the multimedia standard MPEG-4. As such, all researchers, students and practitioners working in image processing, video coding or system and VLSI design will find this book of interest.