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检索条件"任意字段=Storage and Retrieval for Image and Video Databases VI"

共 481 条记录，以下是21-30 订阅

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An efficient content-based video retrieval for large databases

An efficient content-based video retrieval for large databas...

引用

IEEE International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)

作者： Cedillo-Hernandez, Antonio Cedillo-Hernandez, Manuel Garcia-Ugalde, Francisco Nakano-Miyatake, Mariko Perez-Meana, Hector Univ Nacl Autonoma Mexico Fac Ingn Div Ingn Elect Mexico City 04510 DF Mexico Inst Politecn Nacl Escuela Super Ingn Mecan & Elect Mexico City DF Mexico

ISBN: (纸本)9781467383295

Multimedia data grows fast due to advances in information technologies, creating the demand for efficient video indexing and object retrieval techniques. Traditional methods consume significant computational resources such as storage space and processing time. In this paper we propose an efficient content-based video retrieval system that is based on three main stages. The first stage involves computing the DC-image of each I-frame, from which a summarization process to extract key-frames is performed. During the second stage, a segmentation processes is applied to each key-frame in order to isolate the region of interest within it. Local features are extracted from the resulting area and are stored as the descriptor of the frame. The retrieval stage is carried out by computing the Euclidean distance and determines if its content is related with the video database. Experimental results show that the proposed approach is promising in terms of efficiency and effectiveness.

关键词： Efficient CBVR system video indexing DC-frame SURF

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Design and Implementation of Distributed video retrieval System in Air Monitoring Warning System

Design and Implementation of Distributed Video Retrieval Sys...

引用

International Conference on Measuring Technology and Mechatronics Automation, ICMTMA

作者： Chen Na Zhu Ya Ling College of Software Engineering Lanzhou Institute of Technology Lanzhou China

ISBN: (纸本)9781467371445

The video monitoring system plays a decisive role on the security of the sensitive areas, the video will be recording when the system monitors a warning behavior, accumulating over a long period, which will produce a large amount of video information, It is becoming crucial that how to retrieve these massive video information effectively and efficiently. The Content-based video retrieval technology has been the research hotspots in recent years. This paper, with the mature technology of video key frame extraction, combining with the SIFT feature extraction and matching, as well as LSH mapping, realizes the video retrieval. During the process of feature extraction and matching to the video key frame, we realize the distributed processing and storage, using MapReduce parallel mode and HBase distributed storage system, which is the application development of the Content-based video retrieval on the parallel analysis and scalable storage.

关键词： Monitoring Feature extraction Indexes Distributed databases Streaming media image retrieval Distributed processing

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An Efficient Content-Based video retrieval for Large databases

An Efficient Content-Based Video Retrieval for Large Databas...

引用

International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)

作者： Antonio Cedillo-Hernández Manuel Cedillo-Hernández Francisco García-Ugalde Mariko Nakano-Miyatake Héctor Pérez-Meana Facultad de Ingeniería División de Ingeniería Eléctrica Universidad Nacional Autónoma de México D.F. México Sección de Estudios de Posgrado e Investigación Instituto Politécnico Nacional D.F México

Multimedia data grows fast due to advances in information technologies, creating the demand for efficient video indexing and object retrieval techniques. Traditional methods consume significant computational resources such as storage space and processing time. In this paper we propose an efficient content-based video retrieval system that is based on three main stages. The first stage involves computing the DCimage of each I-frame, from which a summarization process to extract key-frames is performed. During the second stage, a segmentation processes is applied to each key-frame in order to isolate the region of interest within it. Local features are extracted from the resulting area and are stored as the descriptor of the frame. The retrieval stage is carried out by computing the Euclidean distance and determines if its content is related with the video database. Experimental results show that the proposed approach is promising in terms of efficiency and effectiveness.

关键词： Feature extraction video sequences image color analysis image segmentation Streaming media Indexing

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Gestão de imagens em movimento de matérias jornalísticas em banco de dados na TV Digital

Gestão de imagens em movimento de matérias jornalísticas ...

引用

作者： Gonçalves, Maria Valéria Bertachini do Nascimento Universidade Estadual Paulista

Due to the intense information flow, together with the techonological trends of control, storage and distribution, information management is considered as a key factor enabling dynamism and skills to manage and direct this raw material that is information. In this scenario, is the television media that uses mainly the image as information while determining language for the audiovisual sector. Television journalism the image appears to portray and cover your news. The study object of this thesis is the management of movement of news stories in images, considering that this information will reach its goal if it is processed and managed in the database, following a following and promoting the distribution and use of this information its users to quickly and accurately. The central question that guided the studies and research refers to the treatment of the moving image and how it should be guided so that there is accuracy in recovery. Thus, if the objective was, in general, the optimization in activities involving information management movement of news stories in pictures in a regional television station offer theoretical and practical contribution to provide management practices for this area Digital Television. The required specific objectives resulted in the construction of a theoretical framework to support that following culminated in conducting exploratory study by the Documentation Centre - CEDOC, the broadcaster TV TEM, affiliated to Rede Globo and brinding together the cities of Sorocaba, Bauru, São Jose do Rio Preto and Itapetininga, to present guiding parameters to the moving image management conduct with the databases in Digital TV ambience. The methodological procedures to achieve the established objectives were operationalized through the development of exploratory research, with the steps of the research/literature review; field research that split into information retrieval, enabling the characterization of TEM TV and CEDOC...Devido ao fluxo informacio

关键词： videoteipes - Administração Jornalismo Televisão digital Arquivos audiovisuais Materiais audiovisuais video tapes - Management Dissertação de mestrado

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Efficient video search using image queries

Efficient video search using image queries

引用

作者： Araujo, A. Makar, M. Chandrasekhar, V. Chen, D. Tsai, S. Chen, H. Angst, R. Girod, B. Stanford University United States Qualcomm Inc. United States Institute for Infocomm Research Singapore Singapore

ISBN: (纸本)9781479957514

We study the challenges of image-based retrieval when the database consists of videos. This variation of visual search is important for a broad range of applications that require indexing video databases based on their visual contents. We present new solutions to reduce storage requirements, while at the same time improving video search quality. The video database is preprocessed to find different appearances of the same visual elements, and build robust descriptors. Compression algorithms are developed to reduce system's storage requirements. We introduce a dataset of CNN broadcasts and queries that include photos taken with mobile phones and images of objects. Our experiments include pairwise matching and retrieval scenarios. We demonstrate one order of magnitude storage reduction and search quality improvements of up to 12% in mean average precision, compared to a baseline system that does not make use of our techniques. © 2014 IEEE.

关键词： Database systems

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An Exhaustive Study on Data Mining Techniques in Mining of Multimedia Database

An Exhaustive Study on Data Mining Techniques in Mining of M...

引用

International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)

作者： Yadav, Pramod Kumar Rizvi, S. A. M. Krishna Inst Engn & Technol Dept Comp Sci & Engn Ghaziabad India Jamia Millia Islamia Dept Comp Sci New Delhi India

ISBN: (纸本)9781479928996

Multimedia database can be define as a collection of storage and retrieval systems, in which large amount of media objects are created, modified, searched and retrieved, where as Multimedia is the combination of text, image, graphics, animations, audio and video. The extension of database application to handle multimedia objects requires synchronization of multiple media data streams. Multimedia data mining refers to the extraction of implicit knowledge, data relationships, or other patterns which are not stored in multimedia files explicitly. The system's overall performance in retrieval can be increase by indexing and classification of multimedia data with efficient information fusion of the different modalities is mandatory. Apart from text retrieval, the current waves in web searching and multimedia data retrieval are the search for and delivery of 3D scenes, images, music and video. The content-based multimedia information retrieval provides new techniques and methods for searching various multimedia databases over the world.

关键词： Query Optimization Spatial data mining web mining Text Mining image Mining Audio and video Mining Map Reduce

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Reducing redundancy in videos using reference frame and clustering technique of key frame extraction

Reducing redundancy in videos using reference frame and clus...

引用

International Conference on Circuits, Communication, Control and Computing (I4C)

作者： Nasreen, Azra Shobha, G. RV Coll Engn Dept Comp Sci & Engn Bangalore Karnataka India

ISBN: (纸本)9781479965458

Digital video is becoming an emerging force in current computer and telecommunication industries for its large mass of data. video segmentation and key-frame extraction have become crucial for the development of advanced digital video systems. Key frame extraction is a very useful technique to provide a concise access to the video content and is the first step towards efficient browsing and retrieval in video databases. Existing approaches are either computationally expensive or ineffective in capturing salient visual content. The proposed system extracts key frames from input videos using two distinct, cost-effective algorithms namely reference based key frame extraction and clustering. It uses multiple characteristics such as co-relation, optical flow and mutual information to identify and extract key frames. The proposed system is able to extract the key frames efficiently for any video format & the extracted key frames can satisfactorily represent the salient content of the video. storage is reduced by one-eighth of the total space required by the original video and the original content can be represented in one-fourth the time of the input video achieving very high compression efficiency & hence can be used in any video retrieval applications.

关键词： key frame extraction optical flow image-entropy clustering

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EFFICIENT video SEARCH USING image QUERIES

EFFICIENT VIDEO SEARCH USING IMAGE QUERIES

引用

IEEE International Conference on image Processing

作者： A. Araujo M. Makar V. Chandrasekhar D. Chen S. Tsai H. Chen R. Angst B. Girod Stanford University Qualcomm Inc. Institute for Infocomm Research

ISBN: (纸本)9781479957521

关键词： Efficient video search image-based retrieval

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An exhaustive study on data mining techniques in mining of Multimedia database

An exhaustive study on data mining techniques in mining of M...

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International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)

作者： Pramod Kumar Yadav Sam Rizvi Dept. of Computer Science & Engineering Krishna Institute of Engineering & Technology Ghaziabad Dept. of Computer Science Jamia Millia Islamia University New Delhi

关键词： Data mining databases Analytical models Multimedia communication Streaming media Lead

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Representative local features mining for large-scale near-duplicates retrieval

Representative local features mining for large-scale near-du...

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IEEE International Conference on Multimedia and Expo (ICME)

作者： Xiaoguang Gu Yongdong Zhang Dongming Zhang Jintao Li Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS) Institute of Computing Technology CAS Beijing China

Local features have been widely used in many computer vision related researches, such as near-duplicate image and video retrieval. However, the storage and query cost of local features become prohibitive on large-scale database. In this paper, we propose a representative local features mining method to generate a compact but more effective feature subset. First, we do an unsupervised annotation for all similar images(or frames in video) in the database. Second, we compute a comprehensive score for every local feature. The score function combines the robustness and discrimination. Finally, we sort all the local features in an image by their scores and the low-score local features can be removed. The selected local features are robust and discriminative, which can guarantee the better retrieval quality than using full of the original feature set. By our method, the number of local features can be significantly reduced and a large amount of storage and computational cost can be saved. The experimental results show that we can use 30% of the features to get a better query performance than that of full feature set.

关键词： databases Robustness Vectors visualization Feature extraction Binary codes Complexity theory

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