Conferences related to Content based retrieval

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2020 IEEE International Conference on Consumer Electronics (ICCE)

The International Conference on Consumer Electronics (ICCE) is soliciting technical papersfor oral and poster presentation at ICCE 2018. ICCE has a strong conference history coupledwith a tradition of attracting leading authors and delegates from around the world.Papers reporting new developments in all areas of consumer electronics are invited. Topics around the major theme will be the content ofspecial sessions and tutorials.


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


OCEANS 2020 - SINGAPORE

An OCEANS conference is a major forum for scientists, engineers, and end-users throughout the world to present and discuss the latest research results, ideas, developments, and applications in all areas of oceanic science and engineering. Each conference has a specific theme chosen by the conference technical program committee. All papers presented at the conference are subsequently archived in the IEEE Xplore online database. The OCEANS conference comprises a scientific program with oral and poster presentations, and a state of the art exhibition in the field of ocean engineering and marine technology. In addition, each conference can have tutorials, workshops, panel discussions, technical tours, awards ceremonies, receptions, and other professional and social activities.

  • OCEANS 2005 - EUROPE

  • OCEANS 2006 - ASIA PACIFIC

  • OCEANS 2007 - EUROPE

    The theme 'Marine Challenges: Coastline to Deep Sea' focuses on the significant challenges, from the shallowest waters around our coasts to the deepest subsea trenches, that face marine, subsea and oceanic engineers in their drive to understand the complexities of the world's oceans.

  • OCEANS 2008 - MTS/IEEE Kobe Techno-Ocean

  • OCEANS 2009 - EUROPE

  • OCEANS 2010 IEEE - Sydney

  • OCEANS 2011 - SPAIN

    All Oceans related technologies.

  • OCEANS 2012 - YEOSU

    The OCEANS conferences covers four days with tutorials, exhibits and three days of parallel tracks that address all aspects of oceanic engineering.

  • OCEANS 2013 - NORWAY

    Ocean related technologies. Program includes tutorials, three days of technical papers and a concurrent exhibition. Student poster competition.

  • OCEANS 2014 - TAIPEI

    The OCEANS conference covers all aspects of ocean engineering from physics aspects through development and operation of undersea vehicles and equipment.

  • OCEANS 2015 - Genova

    The Marine Technology Society and the Oceanic Engineering Society of IEEE cosponsor a joint annual conference and exposition on ocean science, engineering and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 50-200 exhibits.

  • OCEANS 2016 - Shanghai

    Papers on ocean technology, exhibits from ocean equipment and service suppliers, student posters and student poster competition, tutorial on ocean technology, workshops and town hall meetings on policy and governmental process.

  • OCEANS 2017 - Aberdeen

    Papers on ocean technology, exhibits from ocean equipment and service suppliers, student posters and student poster competition, tutorials on ocean technology, workshops and town hall meetings on policy and governmental process.

  • 2018 OCEANS - MTS/IEEE Kobe Techno-Ocean (OTO)

    The conference scope is to provide a thematic umbrella for researchers working in OCEAN engineering and related fields across the world to discuss the problems and potential long term solutions that concernnot only the oceans in Asian pacific region, but the world ocean in general.

  • OCEANS 2019 - Marseille

    Research, Development, and Operations pertaining to the Oceans


IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium

All fields of satellite, airborne and ground remote sensing.


IEEE INFOCOM 2020 - IEEE Conference on Computer Communications

IEEE INFOCOM solicits research papers describing significant and innovative researchcontributions to the field of computer and data communication networks. We invite submissionson a wide range of research topics, spanning both theoretical and systems research.



Periodicals related to Content based retrieval

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Audio, Speech, and Language Processing, IEEE Transactions on

Speech analysis, synthesis, coding speech recognition, speaker recognition, language modeling, speech production and perception, speech enhancement. In audio, transducers, room acoustics, active sound control, human audition, analysis/synthesis/coding of music, and consumer audio. (8) (IEEE Guide for Authors) The scope for the proposed transactions includes SPEECH PROCESSING - Transmission and storage of Speech signals; speech coding; speech enhancement and noise reduction; ...


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...



Most published Xplore authors for Content based retrieval

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Xplore Articles related to Content based retrieval

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Content-based retrieval and real time detection from video sequences acquired by surveillance systems

Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 1998

A surveillance system devoted to detect abandoned objects in unattended environments is presented; image processing content based retrieval capabilities have been added to make the inspection task of operators easier. Video based surveillance systems generally employ one or more cameras connected to a set of monitors. This kind of system needs the presence of a human operator, who interprets the ...


Web Image Clustering Based on Multi-instance

2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2008

In image retrieval and annotation, multi-instance learning has been studied actively. Most of the methods solve the MIL problem in a supervised way. In this paper, we proposed two unsupervised frameworks for clustering multi- instance objects based on expectation maximization (EM) and iterative heuristic optimization respectively. For each framework, we introduced three new algorithms of finding users' interests on specific ...


Trademark retrieval using contour-skeleton stroke classification

Proceedings. IEEE International Conference on Multimedia and Expo, 2002

In this paper we propose a method to retrieve trademarks using query by sketches. The trademark images are first filtered to remove noise. Then each filtered image is segmented into regions based on pixel connectivity. For each region, a decision is made about whether thinning or edge extraction should be applied. Afterwards stroke tracing is performed to extract the sketch ...


A video data model for content-based search

Database and Expert Systems Applications. 8th International Conference, DEXA '97. Proceedings, 1997

The authors present a video data model that represents objects in the video domain as two distinct classes-semantic and structural video objects. Semantic video objects model concepts presented in the video, and structural video objects model encoded information found in the video stream. They also present an architecture to access video content represented in the video data model. Some examples ...


Multiple object retrieval for image databases using multiple instance learning and relevance feedback

2004 IEEE International Conference on Multimedia and Expo (ICME) (IEEE Cat. No.04TH8763), 2004

The paper proposes a method to discover effectively users' concept patterns when multiple objects of interest (e.g., foreground and background objects) are involved in content-based image retrieval. The proposed method incorporates multiple instance learning into the user relevance feedback in a seamless way to discover where the user's objects/regions of most interest are and how to map the local features ...



Educational Resources on Content based retrieval

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IEEE-USA E-Books

  • Content-based retrieval and real time detection from video sequences acquired by surveillance systems

    A surveillance system devoted to detect abandoned objects in unattended environments is presented; image processing content based retrieval capabilities have been added to make the inspection task of operators easier. Video based surveillance systems generally employ one or more cameras connected to a set of monitors. This kind of system needs the presence of a human operator, who interprets the acquired information and controls the evolution of the events in a surveyed environment. During the last years, efforts have been made to develop systems supporting human operators in their surveillance task, in order to focus the attention of operators when unusual situations are detected. Image sequence databases are also managed by the proposed surveillance system in order to provide operators with the possibility of retrieving in a second time the interesting sequences that may contain useful information for discovering causes of an alarm. Experimental results are shown in terms of the probability of correct detection of abandoned objects and examples concerning retrieval sequences.

  • Web Image Clustering Based on Multi-instance

    In image retrieval and annotation, multi-instance learning has been studied actively. Most of the methods solve the MIL problem in a supervised way. In this paper, we proposed two unsupervised frameworks for clustering multi- instance objects based on expectation maximization (EM) and iterative heuristic optimization respectively. For each framework, we introduced three new algorithms of finding users' interests on specific Web images without any manual labeled data. And comparative studies have shown the effectiveness of the proposed algorithms.

  • Trademark retrieval using contour-skeleton stroke classification

    In this paper we propose a method to retrieve trademarks using query by sketches. The trademark images are first filtered to remove noise. Then each filtered image is segmented into regions based on pixel connectivity. For each region, a decision is made about whether thinning or edge extraction should be applied. Afterwards stroke tracing is performed to extract the sketch of the trademark. The user can then provide a query sketch that will be compared with those extracted sketches from the database trademark images in order to retrieve similar trademarks. Query by sketch is useful in the trademark retrieval application since the user can search for similar trademarks by providing a rough sketch instead of keywords. Our approach saves a lot of labor because it does not require the trademark database to be manually annotated with keywords and the experimental result shows that our scheme outperforms an existing method in terms of retrieval performance.

  • A video data model for content-based search

    The authors present a video data model that represents objects in the video domain as two distinct classes-semantic and structural video objects. Semantic video objects model concepts presented in the video, and structural video objects model encoded information found in the video stream. They also present an architecture to access video content represented in the video data model. Some examples are provided to demonstrate the use of this model in supporting content-based queries on digital videos.

  • Multiple object retrieval for image databases using multiple instance learning and relevance feedback

    The paper proposes a method to discover effectively users' concept patterns when multiple objects of interest (e.g., foreground and background objects) are involved in content-based image retrieval. The proposed method incorporates multiple instance learning into the user relevance feedback in a seamless way to discover where the user's objects/regions of most interest are and how to map the local features of that(those) region(s) to the user's high- level concepts. A three-layer neural network is used to model the underlying mapping progressively through the feedback and learning procedure

  • Ontology-supported Information Retrieval

    By moving towards the semantic Web ontologies as a way to describe a domain of interest will gain importance. Already in today's Web with its overwhelming amount of HTML Web pages ontologies can assist users in their whole information retrieval process. In this article, the author first explains how to support users in describing their information needs by using ontologies. Second, it is shown how to retrieve high quality data sources in a particular subject domain. For demonstration purposes, the examples in the article are based on a user searching for hotels. Third, the author also describes how search agents are able to query and analyze the content of the retrieved pages with the aid of ontologies. In contrast to the "wrapper" technique which is commonly used by most of the available applications to extract data of a known Web site, ontologies offer more flexibility, adaptability and robustness. Fourth, it is shown how the results of different sources are merged and presented as valuable data to the user. Users' benefits are more accurate query definitions in a given domain, delegation of time-consuming search tasks to search agents and comparable search results of higher quality

  • Fast browsing of speech material for digital library and distance learning

    In digital library and distance learning applications, one usually needs to search through lots of speech material. While content-based retrieval techniques can help to identify possible matching items, the person would usually need to browse through the items quickly before making decisions on whether the items are useful or not. As a result, fast speech browsing techniques are highly desirable. In this paper we discuss problems of fast playback of speech materials and overview some existing time scale modification (TSM) techniques. We propose some novel modifications of TSM to make it much more effective in fast browsing of speech materials, especially those with irregular speech tempo. The proposed algorithm includes silent period removal, gain equalization and locally adaptive TSM. Simulation results show that the proposed algorithm can increase the intelligibility of the fast playback speech materials significantly.

  • Understanding and communication

    None

  • Content-based retrieval in large image databases

    None

  • The Construction of Grid Information Retrieval Model Based on Ontology

    The current grid information retrieval commonly uses the method based on keywords, and the retrieval method depends on the keywords that match their participation in the external form of characters, rather than the concept expressed by their neglect of the semantic information inherent in the word. It brings about varieties of problems, including too much information or false drop, etc. Thus, the prevalence of low searching efficiency existed and accuracy of the phenomenon is not high. Ontology technology which is combined with semantic grid platform would provide a new implement method to the intelligent information retrieval. Based on this, this paper constructs the grid information retrieval model to achieve a higher degree of matching between user's requests and the retrieval content, thereby, increasing the recall ratio and precision ratio.



Standards related to Content based retrieval

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No standards are currently tagged "Content based retrieval"