Conferences related to Video sequences

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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (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 full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and severalco-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students, academics and industry researchers.

  • 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry researchers.

  • 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conferenceand 27co-located workshops and short courses. With its high quality and low cost, it provides anexceptional value for students,academics and industry.

  • 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    computer, vision, pattern, cvpr, machine, learning

  • 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. Main conference plus 50 workshop only attendees and approximately 50 exhibitors and volunteers.

  • 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    CVPR is the premiere annual Computer Vision event comprising the main CVPR conference and 27 co-located workshops and short courses. With its high quality and low cost, it provides an exceptional value for students, academics and industry.

  • 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Topics of interest include all aspects of computer vision and pattern recognition including motion and tracking,stereo, object recognition, object detection, color detection plus many more

  • 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Sensors Early and Biologically-Biologically-inspired Vision, Color and Texture, Segmentation and Grouping, Computational Photography and Video

  • 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics, motion analysis and physics-based vision.

  • 2009 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

    Concerned with all aspects of computer vision and pattern recognition. Issues of interest include pattern, analysis, image, and video libraries, vision and graphics,motion analysis and physics-based vision.

  • 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2007 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

  • 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


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Periodicals related to Video sequences

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Broadcasting, IEEE Transactions on

Broadcast technology, including devices, equipment, techniques, and systems related to broadcast technology, including the production, distribution, transmission, and propagation aspects.


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-- ...


Consumer Electronics, IEEE Transactions on

The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes


Display Technology, Journal of

This publication covers the theory, design, fabrication, manufacturing and application of information displays and aspects of display technology that emphasize the progress in device engineering, device design, materials, electronics, physics and reliabilityaspects of displays and the application of displays.


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


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Most published Xplore authors for Video sequences

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Xplore Articles related to Video sequences

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Video object manipulation based on mosaic representation for post-production applications

9th European Signal Processing Conference (EUSIPCO 1998), 1998

This paper proposes new methods for the creation of mosaic representations of the scene which enable object-based manipulations of the original video data for post-production applications. For such applications, there is no real-time constraint (off-line image processing) and the whole sequence is fully available to process the original data.


Non‐Normative Video Coding Tools

Visual Media Coding and Transmission, None

This chapter contains sections titled:IntroductionOverview of the State of the ArtRate Control Architecture for Joint MVS Encoding and TranscodingBit Allocation and Buffer Control for MVS Encoding Rate ControlOptimal Rate Allocation for H.264/AVC Joint MVS TranscodingSpatio‐temporal Scene‐level Error Concealment for Segmented VideoAn Integrated Error‐resilient Object‐based Video Coding ArchitectureA Robust FMO Scheme for H.264/AVC Video TranscodingConclusionsReferences


FANN-based subsampling of color video sequences

2000 10th European Signal Processing Conference, 2000

In this paper, we present a subsampling method for color video sequences using feedforward artificial neural networks. In our method, subsampling of the high detail and smooth regions of the video chrominance frames is performed using pattern matching, by extracting different geometrical information for each region. Experimental results show that our method outperforms spatial subsampling obtained via lowpass filtering and ...


Automatic segmentation of facial regions in HSI color format

International Multi Topic Conference, 2002. Abstracts. INMIC 2002., 2002

None


A perceptual PSNR based on the utilization of a linear model of HVS, motion vectors and DFT-3D

2000 10th European Signal Processing Conference, 2000

In this paper we propose two different methods to obtain a video sequence PSNR taking into account of the subjective quality evaluation of the final users. These proposed "subjective" PSNRs are based on the spatio-temporal human sensitivity method suggested by Z. L. Budrikis [3] and on the experimental results given by Kelly [1] and Robson [2]. The first metric (WPSNR1) ...


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Educational Resources on Video sequences

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IEEE-USA E-Books

  • Video object manipulation based on mosaic representation for post-production applications

    This paper proposes new methods for the creation of mosaic representations of the scene which enable object-based manipulations of the original video data for post-production applications. For such applications, there is no real-time constraint (off-line image processing) and the whole sequence is fully available to process the original data.

  • Non‐Normative Video Coding Tools

    This chapter contains sections titled:IntroductionOverview of the State of the ArtRate Control Architecture for Joint MVS Encoding and TranscodingBit Allocation and Buffer Control for MVS Encoding Rate ControlOptimal Rate Allocation for H.264/AVC Joint MVS TranscodingSpatio‐temporal Scene‐level Error Concealment for Segmented VideoAn Integrated Error‐resilient Object‐based Video Coding ArchitectureA Robust FMO Scheme for H.264/AVC Video TranscodingConclusionsReferences

  • FANN-based subsampling of color video sequences

    In this paper, we present a subsampling method for color video sequences using feedforward artificial neural networks. In our method, subsampling of the high detail and smooth regions of the video chrominance frames is performed using pattern matching, by extracting different geometrical information for each region. Experimental results show that our method outperforms spatial subsampling obtained via lowpass filtering and decimation both objectively and subjectively. Moreover, our method significantly outperforms other FANN-based subsampling methods, especially at very low bit rates.

  • Automatic segmentation of facial regions in HSI color format

    None

  • A perceptual PSNR based on the utilization of a linear model of HVS, motion vectors and DFT-3D

    In this paper we propose two different methods to obtain a video sequence PSNR taking into account of the subjective quality evaluation of the final users. These proposed "subjective" PSNRs are based on the spatio-temporal human sensitivity method suggested by Z. L. Budrikis [3] and on the experimental results given by Kelly [1] and Robson [2]. The first metric (WPSNR1) consists in a PSNR weighed by the Motion Vectors typical of MPEG 1-2 [4] algorithms; the second one (WPSNR2) is obtained by mean of the Discrete Fourier Transform applied to a three dimensional domain. Experimental results show that these two WPSNRs are more related to the subjective quality perceived by the final user than the usual PSNR.

  • A hierarchical shot detection method for MPEG video information college

    Video shot detection is a current hot research area. For MPEG video, it is impossible to quick analyze and retrieval through methods of full decompression owning to big computation. Here a hierarchical shot detection method is proposed. Firstly we make use of motion vectors in P-frame and B-frame to detect the potential frames, then determine the last results through computing the difference between DC-images. The experimental results show that this method needs a few calculations and has higher precision ratio.

  • Real time notch based face detection, tracking and facial feature localization

    This research paper deals with the real time implementation of face detection, tracking and facial feature localization in video sequence that is invariant to scale, translation, and (plusmn45) rotation transformation. The proposed system contains two parts, visual guidance and face/non-face classification. The visual guidance phase detects the skin region using the cue present in monocular video (motion and color). Fusion of motion and color cues is done to classify skin color. The classified skin color is passed to morphological operations (recurring erosion and dilation) to remove the noise and holes from the classified skin regions. The contiguous regions are extracted using union- structure component labeling algorithm and scale normalization is applied by nearest neighbor interpolation method. Using the aspect ratio of width and height size, region of interest (ROI) is obtained and then passed to face/non- face classifier. Notch (Gaussian) based templates are used to find circular darker regions in ROI keeping the fact in view that face texture is coarser in nature due to eyes, lips and nostril darker portions. Various size of notch based templates are matched with ROI using normalized cross correlation (NCC), to get matching score (for the classification of input region as face/non- face). The visual guidance reduces the search space and helps to detect and track skin region whereas each region is categorized as face/non-face using face/non-face classifier. The classified face region is handed over to facial feature localization phase, which uses YCbCr eyes/lips mask for face feature localization

  • Parallel Multi-Cue Tracking Based on Particle Filter

    This paper is a new attempt to introduce a "parallel multi-cue" particle filter tracking method. It combines multiple features distribution and multiple thread programming method to facilitate 2D video tracking from a monocular view. The method's benefits lie in its speed, its robustness. Speed is improved by parallel operation of multiple thread which dispose different cues at one time; robustness is implemented by multiple cues. The proposed method is demonstrated on head tracking with a non-stationary camera in unconstrained environments. Result shows it is speedier and robust again background noise such as cluttered background, occlusion, color distracters and illumination change than conventional single thread PF and single thread PF with multi-cue.

  • AudiCom: a video analysis system for auditing commercial broadcasts

    Commercials are very important in TV broadcasts. Many enterprises invest large amounts of money in TV publicity and governments dictate pertinent regulations to preserve consumer's rights. AudiCom is a system that detects the broadcast of previously learned commercials and collects some interesting information about them. It is based on a new scene break detection operator that relies on the colors around the edges of the frames, and on the compaction of the information contained in the different shots that constitute the commercials. This compaction is obtained using principal component analysis (PCA) of the color histogram of a representative frame of every shot.

  • Parallel Coding Efficiency Analysis of H.264 on PC Cluster

    In this paper, we investigate the parallel video coding efficiency on PC cluster. Some important factors that affect the parallel coding efficiency are analyzed: network performance, coding algorithm complexity and parallel mechanism. On Gigabit Ethernet PC cluster, a common MPI-based H.264 parallel video coding mechanism was designed, and a large number of tests and in-depth analysis were performed. Also this paper gives practical data analysis report and advice on how to build high-efficiency parallel video coding system on PC cluster.



Standards related to Video sequences

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