Video text detection and extraction using temporal information.

Luo Bo.Thesis (M.Phil.)--Chinese University of Hong Kong, 2003.Includes bibliographical references (leaves 55-60).Abstracts in English and Chinese.Abstract --- p.iAcknowledgments --- p.viTable of Contents --- p.viiList of Figures --- p.ixList of Tables --- p.xList of Abbreviations --- p.xiChapter Chapter 1 --- Introduction --- p.1Chapter 1.1 --- Background --- p.1Chapter 1.2 --- Text in Videos --- p.1Chapter 1.3 --- Related Work --- p.4Chapter 1.3.1 --- Connected Component Based Methods --- p.4Chapter 1.3.2 --- Texture Classification Based Methods --- p.5Chapter 1.3.3 --- Edge Detection Based Methods --- p.5Chapter 1.3.4 --- Multi-frame Enhancement --- p.7Chapter 1.4 --- Our Contribution --- p.9Chapter Chapter 2 --- Caption Segmentation --- p.10Chapter 2.1 --- Temporal Feature Vectors --- p.10Chapter 2.2 --- Principal Component Analysis --- p.14Chapter 2.3 --- PCA of Temporal Feature Vectors --- p.16Chapter Chapter 3 --- Caption (Dis)Appearance Detection --- p.20Chapter 3.1 --- Abstract Image Sequence --- p.20Chapter 3.2 --- Abstract Image Refinement --- p.23Chapter 3.2.1 --- Refinement One --- p.23Chapter 3.2.2 --- Refinement Two --- p.24Chapter 3.2.3 --- Discussions --- p.24Chapter 3.3 --- Detection of Caption (Dis)Appearance --- p.26Chapter Chapter 4 --- System Overview --- p.31Chapter 4.1 --- System Implementation --- p.31Chapter 4.2 --- Computation of the System --- p.35Chapter Chapter 5 --- Experiment Results and Performance Analysis --- p.36Chapter 5.1 --- The Gaussian Classifier --- p.36Chapter 5.2 --- Training Samples --- p.37Chapter 5.3 --- Testing Data --- p.38Chapter 5.4 --- Caption (Dis)appearance Detection --- p.38Chapter 5.5 --- Caption Segmentation --- p.43Chapter 5.6 --- Text Line Extraction --- p.45Chapter 5.7 --- Caption Recognition --- p.50Chapter Chapter 6 --- Summary --- p.53Bibliography --- p.5

Video text detection and extraction using temporal information.

Luo Bo.Thesis (M.Phil.)--Chinese University of Hong Kong, 2003.Includes bibliographical references (leaves 55-60).Abstracts in English and Chinese.Abstract --- p.iAcknowledgments --- p.viTable of Contents --- p.viiList of Figures --- p.ixList of Tables --- p.xList of Abbreviations --- p.xiChapter Chapter 1 --- Introduction --- p.1Chapter 1.1 --- Background --- p.1Chapter 1.2 --- Text in Videos --- p.1Chapter 1.3 --- Related Work --- p.4Chapter 1.3.1 --- Connected Component Based Methods --- p.4Chapter 1.3.2 --- Texture Classification Based Methods --- p.5Chapter 1.3.3 --- Edge Detection Based Methods --- p.5Chapter 1.3.4 --- Multi-frame Enhancement --- p.7Chapter 1.4 --- Our Contribution --- p.9Chapter Chapter 2 --- Caption Segmentation --- p.10Chapter 2.1 --- Temporal Feature Vectors --- p.10Chapter 2.2 --- Principal Component Analysis --- p.14Chapter 2.3 --- PCA of Temporal Feature Vectors --- p.16Chapter Chapter 3 --- Caption (Dis)Appearance Detection --- p.20Chapter 3.1 --- Abstract Image Sequence --- p.20Chapter 3.2 --- Abstract Image Refinement --- p.23Chapter 3.2.1 --- Refinement One --- p.23Chapter 3.2.2 --- Refinement Two --- p.24Chapter 3.2.3 --- Discussions --- p.24Chapter 3.3 --- Detection of Caption (Dis)Appearance --- p.26Chapter Chapter 4 --- System Overview --- p.31Chapter 4.1 --- System Implementation --- p.31Chapter 4.2 --- Computation of the System --- p.35Chapter Chapter 5 --- Experiment Results and Performance Analysis --- p.36Chapter 5.1 --- The Gaussian Classifier --- p.36Chapter 5.2 --- Training Samples --- p.37Chapter 5.3 --- Testing Data --- p.38Chapter 5.4 --- Caption (Dis)appearance Detection --- p.38Chapter 5.5 --- Caption Segmentation --- p.43Chapter 5.6 --- Text Line Extraction --- p.45Chapter 5.7 --- Caption Recognition --- p.50Chapter Chapter 6 --- Summary --- p.53Bibliography --- p.5

The role of the scale and the frequency bandwidth of steering wheel vibration on road surface recognition

Automobile drivers are regularly exposed to vibrational stimuli in their vehicle. Of the automobile subsystems, the steering wheel is one of the most important due to its role in controlling the vehicle. In particular, the steering wheel plays an important role in transmitting information about the road and about the vehicle to the driver. This paper investigates the effect of steering system feedback gain and steering system feedback bandwidth on the human interpretation of the driving information transmitted by the steering wheel. Human recognition of road surface type was found to be highly dependent on the feedback gain and the feedback bandwidth of the steering wheel vibration. The results provide some basic guidelines for designing the control logic of steer by wire systems

The TREC2001 video track: information retrieval on digital video information

The development of techniques to support content-based access to archives of digital video information has recently started to receive much attention from the research community. During 2001, the annual TREC activity, which has been benchmarking the performance of information retrieval techniques on a range of media for 10 years, included a ”track“ or activity which allowed investigation into approaches to support searching through a video library. This paper is not intended to provide a comprehensive picture of the different approaches taken by the TREC2001 video track participants but instead we give an overview of the TREC video search task and a thumbnail sketch of the approaches taken by different groups. The reason for writing this paper is to highlight the message from the TREC video track that there are now a variety of approaches available for searching and browsing through digital video archives, that these approaches do work, are scalable to larger archives and can yield useful retrieval performance for users. This has important implications in making digital libraries of video information attainable