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Image indexing and content analysis in children's picture books using a large-scale database

MULTIMEDIA TOOLS AND APPLICATIONS 2019年第15期78卷 20679-20695页

作者： Huang, Chengwei Jiang, Hao Fandou Informat Technol Co Ltd Shenzhen Peoples R China

In this paper we introduce a visual database for children's picture book and we also present an intelligent robot trained on this database. Firstly, a large-scale image dataset is built that contains image samples of book pages. It can be used to verify image indexing algorithms and content recognition algorithms. Secondly, we study the state-of-the-art algorithms in image matching and object recognition. Several approaches are presented and compared from the aspects of computational efficiency and recognition accuracy. In order to improve the speed we proposed a novel hierarchical algorithm for fast search. Finally, using this large-scale database we are able to build a robot that can read children's picture books and initial experimental results are presented. We can see that both the training database and the algorithms are promising, yet there are still a few open challenges concerning the costs and robustness.

关键词： visual database Picture book Image indexing Object recognition Robotics

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BNU-LSVED 2.0: Spontaneous multimodal student affect database with multi-dimensional labels

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SIGNAL PROCESSING-IMAGE COMMUNICATION 2017年 59卷 168-181页

作者： Wei, Qinglan Sun, Bo He, Jun Yu, Lejun Beijing Normal Univ Coll Informat Sci & Technol Beijing 100875 Peoples R China

In college classrooms, large quantities of digital-media data showing students' affective behaviors are continuously captured by cameras on a daily basis. To provide a bench mark for affect recognition using these big data collections, in this paper we propose the first large-scale spontaneous and multimodal student affect database. All videos in our database were selected from daily big data recordings. The recruited subjects extracted one-person image sequences of their own affective behaviors, and then they made affect annotations under standard rules set beforehand. Ultimately, we have collected 2117 image sequences with 11 types of students' affective behaviors in a variety of classes. The Beijing Normal University Large-scale Spontaneous visual Expression database version 2.0 (BNU-LSVED2.0) is an extension database of our previous BNU-LSVED1.0 and it has a number of new characteristics. The nonverbal behaviors and emotions in the new version database are more spontaneous since all image sequences are from the recording videos recorded in actual classes, rather than of behaviors stimulated by induction videos. Moreover, it includes a greater variety of affective behaviors, from which can be inferred students' learning status during classes;these behaviors include facial expressions, eye movements, head postures, body movements, and gestures. In addition, instead of providing only categorical emotion labels, the new version also provides affective behavior labels and multi-dimensional Pleasure-Arousal-Dominance (PAD) labels that have been assigned to the image sequences. Both the detailed subjective descriptions and the statistical analyses of the self-annotation results demonstrate the reliability and the effectiveness of the multi-dimensional labels in the database. (C) 2017 Elsevier B.V. All rights reserved.

关键词： Multimodal visual database Dimensional PAD Emotion recognition Educational

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DATA-PROCESSING SOFTWARE FOR ELECTROPHYSIOLOGICAL visual EXPLORATION

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COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 1989年第2期28卷 101-109页

作者： GRALL, Y LEGARGASSON, JF RIGAUDIERE, F PIZZATO, M Service de Biophysique et Médecine Nucléaire Hôpital Lariboisière Paris France.

The software we have developed originated after careful study of a routine functional visual processing session. It has three objectives: (i) to have available a large library of data processing programs;(ii) to add to these electrophysiological results, automatically transferred into a file, a clinical record card, creating a personalized file for study of visual characteristics of each patient;(iii) to allow programs providing statistical studies, creation of groups based on the same clinical features and various comparisons between files or groups. The database now contains 5000 different files and the results of its use are very encouraging. Some results are presented, especially those of a study on multiple sclerosis. The goal of the operation is the creation, in the future, of an expert system.

关键词： visual database visual electrophysiology Signal analysis Clinical file Statistics

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Portable source initiative for distribution of cross-platform compatible multi-spectral databases

Portable source initiative for distribution of cross-platfor...

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Conference on Target and Backgrounds IX

作者： Nichols, WK USN Air Warfare Ctr Patuxent River MD 20670 USA

ISBN: (纸本)0819449342

In response to popular demand, The visual Group has undertaken an effort known as the Portable Source Initiative, a program intended to create cross-platform compatible multi-spectral databases by building a managed source set of data and expending a minimal amount of effort republishing run-time formatted proprietary databases. By building visual and sensor databases using a variety of sources, then feeding all value-added work back into standard, open, widely used source formats, databases can be published from this "refined source data"(1) in a relatively simple, automated, and repeatable fashion. To this end, with the endorsement of the Army's PM Cargo, we have offered a sample set of the source data we are building for the CH-47F TFPS program to the visual simulation industry at large to be republished into runtime formats. The results of this effort were an overwhelming acceptance of the concepts and theories within, and support from both industry and multi-service flight simulation teams.

关键词： portable source visual database MultiSpectral database flight simulation terrain imagery image generator 3-D modeling sensor simulation refined source

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Sketch-Based Retrieval in Large-Scale Image database via Position-Aware Silhouette Matching 10th

Sketch-Based Retrieval in Large-Scale Image Database via Pos...

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10th International Conference on E-Learning and Games (Edutainment)

作者： Hu, Shijie Zhang, Hongxin Zhang, Sanyuan Fang, Zishuo Huang, Qi Zhejiang Univ Coll Comp Sci & Technol Hangzhou 310027 Zhejiang Peoples R China Zhejiang Univ State Key Lab CAD&CG Hangzhou 310027 Zhejiang Peoples R China

ISBN: (纸本)9783319402598;9783319402581

We propose an interactive sketching tool called SKIT to explore image database. The aim is to achieve fast result convergence according to the visual user query. Our main contribution is a new interactive image exploration approach which dynamically adapts to user sketches and provides feedback. The novel user interface is suitable for a range of interactive image-database access applications. In addition, we propose a position-aware matching approach for SKIT to support translation-free sketch searching. Experimental results demonstrate that our method outperforms state-of-the-art approaches with respect to the superior user interface and matching results.

关键词： Sketching visual database Interactive image search Image synthesis

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visualDx: A visual Diagnostic Decision Support Tool

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Medical Reference Services Quarterly 2012年第4期31卷 414-424页

作者： Vardell, Emily Bou-Crick, Carmen School of Library and Information Science University of North Carolina at Chapel Hill Chapel Hill NC 27599 100 Manning Hall CB#3360 United States Leonard M. Miller School of Medicine University of Miami Miami FL United States

visualDx is a clinical decision support tool that uses images and searchable clinical features to assist physicians in the diagnostic decision-making process. visualDx is a database of more than 24,000 high-quality images covering a wide variety of conditions and drug eruptions. In addition, visualDx integrates within both UpToDate and many electronic medical records and features a mobile version. This column includes a sample search and a review of the features of visualDx. © 2012 Copyright Taylor and Francis Group, LLC.

关键词： CDSS clinical decision support systems point-of-care systems visual database visualDx

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BNU-LSVED: a multimodal spontaneous expression database in educational environment 10

BNU-LSVED: a multimodal spontaneous expression database in e...

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10th Conference on Optics and Photonics for Information Processing

作者： Sun, Bo Wei, Qinglan He, Jun Yu, Lejun Zhu, Xiaoming Beijing Normal Univ Coll Informat Sci & Technol 19 XinjieKouWai St Beijing 100875 Peoples R China

ISBN: (数字)9781510603325

ISBN: (纸本)9781510603318;9781510603325

In the field of pedagogy or educational psychology, emotions are treated as very important factors, which are closely associated with cognitive processes. Hence, it is meaningful for teachers to analyze students ' emotions in classrooms, thus adjusting their teaching activities and improving students ' individual development. To provide a benchmark for different expression recognition algorithms, a large collection of training and test data in classroom environment has become an acute problem that needs to be resolved. In this paper, we present a multimodal spontaneous database in real learning environment. To collect the data, students watched seven kinds of teaching videos and were simultaneously filmed by a camera. Trained coders made one of the five learning expression labels for each image sequence extracted from the captured videos. This subset consists of 1572 multimodal spontaneous expression image sequences recorded in real classrooms. There are four main advantages in this database. 1) Due to recorded in the real classroom environment, viewer's distance from the camera and the lighting of the database varies considerably between image sequences. 2) All the data presented are natural spontaneous responses to teaching videos. 3) The multimodal database also contains nonverbal behavior including eye movement, head posture and gestures to infer a student's affective state during the courses. 4) In the video sequences, there are different kinds of temporal activation patterns. In addition, we have demonstrated the labels for the image sequences are in high reliability through Cronbach's alpha method.

关键词： Multimodal visual database educational emotion recognition expression

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Borland :: Borland C++ :: Borland C++ Version 5 Programmers Guide 1997

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2016年

Borland :: Borland C++ :: Borland C++ Version 5 Programmers Guide 1997 by published by

关键词： base class borland chapter class data data type database database tools example program function functions generic algorithms guide header file member function member functions object programmers standard library type values version visual database

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