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Finding faces in gray scale images using locally linear embeddings

引用

5th International conference on image and video retrieval (CIVR 2006

作者： Kadoury, Samuel Levine, Martin D. McGill Univ Dept Elect & Comp Engn Montreal PQ H3A 2A7 Canada

ISBN: (纸本)3540360182

the problem of face detection remains challenging because faces are non-rigid objects that have a high degree of variability with respect to head rotation, illumination, facial expression, occlusion, and aging. A novel technique that is gaining in popularity, known as Locally Linear Embedding (LLE), performs dimensionality reduction on data for learning and classification purposes. this paper presents a novel approach to the face detection problem by applying the LLE algorithm to 2D facial images to obtain their representation in a sub-space under the specific conditions stated above. the low-dimensional data are then used to train Support Vector Machine (SVM) classifiers to label windows in images as being either face or non-face. Six different databases of cropped facial images, corresponding to variations in head rotation, illumination, facial expression, occlusion and aging, were used to train and test the classifiers. Experimental results obtained demonstrated that the performance of the proposed method was similar and sometimes better when compared to other face detection methods, while using a lower amount of training images, thus indicating a viable and accurate technique:

关键词： image analysis

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Data Processing and Presentation for a Personalised, image-driven Medical Graphical Avatar

Data Processing and Presentation for a Personalised, Image-d...

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35th Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： de Ridder, Michael Bi, Lei Constantinescu, Liviu Kim, Jinman Feng, David Dagan Univ Sydney Sch Informat Technol Sydney NSW 2006 Australia

ISBN: (纸本)9781457702167

With the continuing digital revolution in the healthcare industry, patients are being confronted with the difficult task of managing their digital medical data. Current personal health record (PHR) systems are able to store and consolidate this data, but they are limited in providing tools to facilitate patients' understanding and management of the data. One reason for this stems from the limited use of contextual information, especially in presenting spatial details such as in volumetric images and videos, as well as time-based temporal data. Further, lack of meaningful visualisation techniques exist to represent the data stored in PHRs. In this paper we propose a medical graphical avatar (MGA) constructed from whole-body patient images, and a navigable timeline of the patient's medical records. A data mapping framework is presented that extracts information from medical multimedia data such as images, video and text, to populate our PHR timeline, while also embedding spatial and textual annotations such as regions of interest (ROIs) that are automatically derived from image processing algorithms. We developed a prototype to process the various forms of PHR data and present the data in a graphical avatar. We analysed the usefulness of our system under various scenarios of patient data use and present preliminary results that indicate that our system performs well on standard consumer hardware.

关键词： data handling data structures data visualisation health care information retrieval information storage medical information systems multimedia databases visual databases

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video Segmentation using Short Term Hierarchical Fast Watershed Algorithm 7

Video Segmentation using Short Term Hierarchical Fast Waters...

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7th IEEE International conference on Communication and Signal Processing (IEEE ICCSP)

作者： Durga, R. Yamuna, G. Barkavi, R. Annamalai Univ Dept ECE Annamalainagar 608002 Tamil Nadu India

ISBN: (纸本)9781538635216

In computer vision, the most fundamental problem is the Segmentation, though more researches are carried out in this field, it is still very challenging. Segmentation is broadly classified into two broad categories, such as image Segmentation and video Segmentation. Comparatively video segmentation has a more general objective than image segmentation due to its large storage size and having temporal information. Hence, a Short Term Hierarchical Fast Watershed Algorithm (SthFWA) has been proposed to achieve an early segmentation by means of K-means clustering where the frames are segmented first and then the key frames into final segments by using Fast Watershed Algorithm (FWA). Finally, the Dual Tree Complex Wavelet Transform (DTCWT) is used. With these proposed algorithms, the objects can be successfully extracted.

关键词： Dual Tree Complex Wavelet Transform (DTCWT) Fast Watershed Algorithm (FWA) K-means clustering Short Term Hierarchical Fast Watershed Algorithm (SthFWA)

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New Digital Broadcasting Services for Use with TV Sets Containing Digital storage Devices 99

New Digital Broadcasting Services for Use with TV Sets Conta...

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7th ACM International conference on Multimedia (Part 1), MULTIMEDIA 1999

作者： Hayasaka, Rina Matoba, Hiroshi Maeno, Kazutoshi Human Media Research Laboratories NEC 1-1 Miyazaki 4-chome Miyamae-ku Kanagawa Kawasaki216-8555 Japan Advanced Broadcast Systems Development Division NEC 10 Nisshin-cho 1-chôme Fuchu Tokyo183-8501 Japan

ISBN: (纸本)9781581132397

this paper describes two novel broadcasting services for providing high quality digital video transmissions using the MPEG-2 encoding standard. While image quality in conventional MPEG-2 broadcasting is limited by the available transmission capacity, we propose using TV sets with digital storing devices to create a much higher virtual bandwidth that allows for high quality transmissions. Furthermore, both services are backward compatible, that is ordinary TV sets without such storage devices will still be able to receive regular program, although at a lower quality. © 1999 ACM.

关键词： Signal encoding

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Enhanced UAV with image-Driven Concrete Crack Detection 7

Enhanced UAV with Image-Driven Concrete Crack Detection

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7th International conference on Electronics, Communication and Aerospace Technology, ICECA 2023

作者： Jambula, Snehith Reddy Mathi, Sri Chaithanya Polu, Sai Nadh Jm, Kenny Gee Oberoi Mateti, Vedha Pranava Yadav, Sudha Amrita School of Engineering Department of Electrical and Electronics Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798350340600

the Motive of the Concrete crack detection model integrated into UAV is to identify the cracks of Concrete slabs, buildings, and pavement cracks using a specifically designed image Processing Software. Crack detection and depth analysis of the entire building or the pavement makes it much harder using conventional methods, this is where the UAV integrated with Concrete crack detection using image Processing comes into the picture. the UA V is designed for monitoring and collecting data using a camera where the collected image can be processed for further crack analysis using a special set of databases that contains the dataset of thermal and grayscale images which are used for image processing. the UAV is also equipped with a special set of fight modes where the Unmanned Aerial Vehicle can perform a special set of operations for the collection of the data such as flying at a specific altitude, holding at a position, and following a specifically designated path for the collection of the data. the Live transmission of the visuals can be done from the UA V using a video Transmitter and receiver with a specific bandwidth. the collected data can be analyzed using image processing software at the ground station. © 2023 IEEE.

关键词： Crack detection

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Application-Independent In-Network storage Optimization for Distributed Smart Camera Systems

Application-Independent In-Network Storage Optimization for ...

引用

7th International conference on Distributed Smart Cameras (ICDSC)

作者： Grenz, Carsten Asam, Fabian Haehner, Joerg Univ Gottingen Organ Comp Gottingen Germany

ISBN: (纸本)9781479921645

Today's Smart Camera networks are able to execute a wide variety of distributed algorithms. the usage of high-level algorithms range from image processing, i.e. video analysis and feature extraction, to distributed observation and control protocols that coordinate the collaboration of cameras. these algorithms output georeferenced data representing various abstractions of the observed scene as well as the cameras' states. this data is again used by other algorithms operating on it or visualizing it to the security personnel. We present a novel approach for optimizing the storage of georeferenced sensor data in Smart Camera Networks. Our approach makes use of an access-centric paradigm to adaptively optimize the storage location of data depending on the associated access patterns. Our storage framework offers a generalized interface to be easily usable by any higher-level algorithm. the algorithm's adaptive behaviour leads to a huge reduction of network usage and latency.

关键词： Cameras

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6th International conference on Asian Digital Libraries, ICADL 2003

引用

6th International conference on Asian Digital Libraries, ICADL 2003

ISBN: (纸本)9783540206088

the proceedings contain 86 papers. the special focus in this conference is on Asian digital libraries. the topics include: Personalization in digital libraries - an extended view;case studies in the US national science digital library;character strings to natural language processing in information retrieval;intelligent searching for Chinese medical information;automatic summarization of Chinese and English;incorporating virtual relevant documents for learning in text categorization;a case study of a stream-based digital library;towards web mining of query translations for cross-language information retrieval in digital libraries;development of design recommender system using collaborative filtering;collaborative querying through a hybrid query clustering approach;information needs in information space;an efficient and fast multi layer statistical approach for colour based image retrieval;supporting multilingual information retrieval in web applications: an English-chinese web portal experiment;a novel value of paragraph content based pagerank approach;digital reference services;approximate string matching for multiple-attribute, large-scale customer address databases;a Malay-english terminology retrieval system experiment using stemming and N-grams approach on Malay words;a data model for video management in digital library;a multimedia digital library system based on MPEG-7 and XQuery;multimedia data transmission using multicast delivery in digital library;reducing spatial relationships for efficient image retrieval;effective image annotation for search using multi-level semantics;affective contents retrieval from video with relevance feedback and a digital archive of herbals to support scientific research.

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Audio classification using acoustic images for retrieval from multimedia databases 4

Audio classification using acoustic images for retrieval fro...

引用

4th EURASIP conference on video, image Processing and Multimedia Communications

作者： Paraskevas, I Chilton, E Univ Surrey Surrey GU2 7XH England

ISBN: (纸本)9531840547

With the increasing use of audio-visual databases, the need for automatic content-based classification has grown in importance. In this paper, a novel method for the automatic recognition of acoustic utterances is presented using acoustic images as the basis for the feature extraction. this method effectively employs the spectrogram, the Wigner-Ville distribution and co-occurrence matrices. the images are then compressed, using statistical methods, before being combined into a single feature matrix to be presented to a classifier. Initial results obtained from the classification of a database of sport sounds and gunshots indicate that the method is capable of accurate discrimination for coarse and fine classification respectively.

关键词： audio classification feature extraction time-frequency distributions texture analysis statistical signal processing

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Research on the Attribute Extraction Algorithm of People and Vehicles Based on video Structure 7

Research on the Attribute Extraction Algorithm of People and...

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2020 7th International conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2020

作者： Zhang, Chaoying Liang, Baolin Ma, Sicong Xiang, Chao Bai, Zhen Wang, Jianxiu China Telecom Corporation Limited Beijing Research Institute Beijing102209 China

With the development of sensor technology and computer vision, the speed of video generation is increasing exponentially. the workload of video browsing and the amount of stored data are increasing. In order to achieve fast browsing and efficient storage, video structure technology is increasingly important. this paper focuses on the video structure technology in the construction of smart cities, outlines the system process of video structure, and studies the extraction algorithm of human and vehicle target attributes based on deep learning. And combined with the actual video monitoring scene, the experiment is carried out. Compared with traditional image processing methods, the video structure target attribute extraction model based on deep learning has high detection accuracy and strong algorithm generalization ability. the intelligent analysis and processing of data by video structure technology is conducive to quickly increasing the speed of target search, reducing storage capacity, solving the problem of long-term storage, and realizing full automation of surveillance video. © Published under licence by IOP Publishing Ltd.

关键词： Vehicles

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Near duplicate image detection: Min-Hash and tf-idf weighting

Near duplicate image detection: Min-Hash and tf-idf weightin...

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2008 19th British Machine Vision conference, BMVC 2008

作者： Chum, Ondřej Philbin, James Zisserman, Andrew CMP Czech Technical University Prague Czech Republic VGG University of Oxford United Kingdom

ISBN: (纸本)9781901725360

this paper proposes two novel image similarity measures for fast indexing via locality sensitive hashing. the similarity measures are applied and evaluated in the context of near duplicate image detection. the proposed method uses a visual vocabulary of vector quantized local feature descriptors (SIFT) and for retrieval exploits enhanced min-Hash techniques. Standard min-Hash uses an approximate set intersection between document descriptors was used as a similarity measure. We propose an efficient way of exploiting more sophisticated similarity measures that have proven to be essential in image / particular object retrieval. the proposed similarity measures do not require extra computational effort compared to the original measure. We focus primarily on scalability to very large image and video databases, where fast query processing is necessary. the method requires only a small amount of data need be stored for each image. We demonstrate our method on the TrecVid 2006 data set which contains approximately 146K key frames, and also on challenging the University of Kentucky image retrieval database.

关键词： Query processing

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