Titlebook: Exploration of Visual Data; Xiang Sean Zhou,Yong Rui,Thomas S. Huang Book 2003 Springer Science+Business Media New York 2003 Boosting.Comp

Ingrained

Sciatica

Robust

Mathematics and its ApplicationsWith the ever-increasing amount of digital image and video data along with faster and easier means for information access and exchange, we are facing a pressing demand for intelligent image and video analysis, indexing, retrieval, and delivery systems.

造反,叛乱

,Haushalt — Familie — Hausfamilie,Machine “sees” every pixel in an image, but can it detect, say, . or . in a picture or video? Can it EVER “feel” the emotions or semantics behind?

Presbyopia

指耕作

懒惰人民

Joachim Gehringer,Wolfgang RückerContent-based exploration of visual data is a relatively new research area, with many promising future research directions. To extend and continue the research carried out in this book, the emphasis may be put on the following challenging topics

fiction

CHAR

Overview of Visual Information Representation,Machine “sees” every pixel in an image, but can it detect, say, . or . in a picture or video? Can it EVER “feel” the emotions or semantics behind?

Decongestant

Edge-Based Structural Features,In this chapter we propose edge-based structural features for image representation, develop an algorithm for effective extraction of such features, and explore the effectiveness of these features in aiding visual retrieval tasks [229].