Yu-Jin Zhang

Image segmentation is the key step from image processing to image analysis, and it is an important technique of image engineering. Image segmentation based on transition region...

This chapter provides a summary of a bibliography series on image engineering (IE) for 20 years. This bibliography series already contains more than 12,000 publications selected...

This chapter introduces a cutting-edge research field of computer vision and image understanding – the spatial-temporal behavior understanding. The main concepts, the focus of...

Image segmentation is the key step from image processing to image analysis, and is an important technique of image engineering. Image segmentation based on transition region is a...

This chapter provides a summary of a bibliography series on image engineering (IE) for twenty years. This bibliography series has already contains more than 12000 publications...

This chapter introduces a cutting-edge research field of computer vision and image understanding – the spatial-temporal behavior understanding. The main concepts, the focus of...

The increasing use of micro-blogging as a marketing tool has increased research attention on usage and performance of enterprise micro-blogging. Based on research on information...

Video and image analysis of the human face provides a wealth of information about the individual, , including age, behavior, health and profession. With research continually...

Face image analysis, consisting of automatic investigation of images of (human) faces, is a hot research topic and a fruitful field. This introductory chapter discusses several...

Non-negative matrix factorization (NMF) is a more and more popular method for non-negative dimensionality reduction and feature extraction of non-negative data, especially face...

This chapter is concerned with online object tracking, which aims to locate a given object in each of the consecutive frames. Many algorithms have been proposed to deal with this...

Over the past few years, face recognition has gained many interests. Face recognition has become a popular area of research in computer vision and pattern recognition. The...

Along with the progress of imaging modality and the wide utility of digital images (including video) in various fields, many potential content producers have emerged, and many...

Image segmentation consists of subdividing an image into its constituent parts and extracting those parts of interest (objects). Due to its importance in image analysis, many...

Image segmentation is an important image technique well known by its utility and complexity. To extract the useful information from images or groups of images, an inevitable step...

The human perception to the outside world is the results of action among brain and many organs. For example, the intelligent robots that people currently investigate can have...

With the progress of electronic equipments and computer technology for taking motion pictures and processing huge data, an increasing number of people now own and use camcorders...

Content-based image retrieval (CBIR) could be described as a process framework for efficiently retrieving images from a collection by similarity. The retrieval relies on...

A simple search from EI Compendex by using the term “image segmentation” only in title field could produce around 5000 records (Zhang, 2006). However, as no general theory for...

Images are an important medium from which human beings observe the majority of the information they received from the real world. In its general sense, the word “image” could...

Mining techniques can play an important role in automatic image classification and content-based retrieval. A novel method for image classification based on feature element...

Content-based image retrieval (CBIR) has wide applications in public life. Either from a static image database or from the Web, one can search for a specific image, generally...

Human detection is the first step for a number of applications such as smart video surveillance, driving assistance systems, and intelligent digital content management. It’s a...

Semantic-Based Visual Information Retrieval is one of the most challenging research directions of content-based visual information retrieval. It provides efficient tools for...

Tsinghua University in Beijing, China reported a teaching case related to the experience of conducting a distance-learning course entitled “Digital Image Processing.” The course...

Content-based visual information retrieval (CBVIR), as a new generation (with new concepts, techniques and mechanisms, etc.) of visual information retrieval, has attracted many...

Image classification and automatic annotation could be treated as effective solutions to enable keyword-based semantic image retrieval. Traditionally, they are investigated in...

Image and video segmentation is one of the most critical tasks of image and video analysis: extracting information from an image or a sequence of images. In the last 40 years...

The history of segmentation of digital images using computers could be traced back 40 years. Since then, this field has evolved very quickly and has undergone great change. In...

One critical problem in image segmentation is how to explore the information in both feature and image space and incorporate them together. One approach in this direction is...

This chapter provides a summary of the recent (especially since 2000) progress for the evaluation of image and video segmentation. It is seen that much more effort has been...

The growth of the Internet and storage capability not only increasingly makes images a widespread information format on the World Wide Web (WWW), but it also dramatically expands...

The process of segmenting images is one of the most critical ones in automatic image analysis whose goal can be regarded as to find what objects are presented in images...

This chapter addresses the tasks of providing the semantic structure and generating the abstraction of content in broadcast news. Based on extraction of two specific visual cues...