Kalva, H.
* 1999: Implementing multiplexing, streaming, and server interaction for MPEG-4
* 2004: Algorithms for multiplex scheduling of object-based audio-visual presentations
* 2006: Permutation-Based Correlation-Preserving Encryption Method for Digital Videos, A
* 2006: Speeding-Up the Macroblock Partition Mode Decision in MPEG-2/H.264 Transcoding
* 2007: Evaluation of 3DTV Service using Asymmetric View Coding Based on MPEG-2
* 2007: H.263 to H.264 Transconding using Data Mining
* 2007: P-Frame Transcoding in VC-1 to H.264 Transcoders
* 2008: 3D Video Quality Evaluation with Depth Quality Variations
* 2008: Fast MB Mode Decision Algorithm for MPEG-2 to H.264 P-Frame Transcoding, A
* 2008: Feedback free DVC architecture using machine learning
* 2008: Low-Complexity Heterogeneous Video Transcoding Using Data Mining
* 2008: VC-1 and H.264 Video Compression Standards for Broadband Video Services, The
* 2009: Distributed Video Coding using Turbo Trellis Coded Modulation
* 2009: Low power DCT using highly scalable multipliers
* 2009: Motion vector refinement in a Wyner-Ziv to H.264 transcoder for mobile telephony
* 2009: Wyner-Ziv to H.264 video transcoder
* 2010: Event detection in video using motion analysis
* 2010: MPEG-2 to H.264 Video Transcoder in the Baseline Profile, An
* 2014: Fast partitioning algorithm for HEVC Intra frame coding using machine learning
* 2015: Evaluation of Signal Processing Methods for Attention Assessment in Visual Content Interaction
* 2017: Adapting Low-Bitrate Skip Mode in a Mobile Environment
* 2018: Editorial IEEE Transactions on Multimedia Special Section on Video Analytics: Challenges, Algorithms, and Applications
Includes: Kalva, H. Kalva, H.[Hari]
22 for Kalva, H.
Kalva, P.
* 2007: WEB Image Classification Based on the Fusion of Image and Text Classifiers
Kalva, S.K.
* 2019: Fractional Regularization to Improve Photoacoustic Tomographic Image Reconstruction
Kalviainen, H.
* 1992: Randomized Hough Transform Applied to Translational and Rotational Motion Analysis
* 1993: Motion estimation and the Randomized Hough Transform (RHT): New methods with gradient information
* 1994: Comparisons of Probabilistic and Non-Probabilistic Hough Transforms
* 1995: Connective Randomized Housh Transform (CRHT)
* 1995: Probabilistic and Nonprobabilistic Hough Transforms: Overview and Comparisons
* 1996: Houghtool: A Software Package for the Use of the Hough Transform
* 1996: Mixed Pixel Classification with the Randomized Hough Transform
* 1996: Motion Detection Using the Randomized Hough Transform: Exploiting Gradient Information and Detecting Multiple Moving-Objects
* 1997: Computer Vision Approach for Robotized Handling of Sheets in a Manufacturing Cell, A
* 1997: Robust Unmixing of Large Sets of Mixed Pixels
* 1998: Multispectral Image Compression
* 1999: Image Standardization in Automated Optical Microscopy
* 1999: Parametric Multispectral Texture Modelling
* 1999: Randomized or probabilistic Hough transform: unified performance evaluation
* 1999: Two-Stage Multispectral Image Compression Using the Self-Organizing Map
* 2000: Combination of Local and Global Line Extraction
* 2000: Compression of Multispectral Remote Sensing Images Using Clustering and Spectral Reduction
* 2000: Content-based matching of line-drawing images using the Hough transform
* 2000: High Precision 2-d Geometrical Inspection
* 2000: Hough Transform for Rotation Invariant Matching of Line-drawing Images
* 2000: Multispectral Image Colour Encoding
* 2000: Multispectral Video
* 2000: Randomized or probabilistic Hough transform: unified performance evaluation
* 2001: Invariant Shape Recognition using Global Gabor Features
* 2001: Multiprocessor Implementation of the Randomized Hough Transform
* 2001: Positioning of Flexible Boom Structure Using Neural Networks
* 2001: Similarity Measures for Ordered Histograms
* 2002: Fundamental frequency gabor filters for object recognition
* 2003: Environmental Monitoring Using Image Analysis
* 2003: Hypotheses-Driven Affine Invariant Localization of Faces in Verification Systems
* 2003: Improving similarity measures of histograms using smoothing projections
* 2003: Intermediate-level feature extraction in novel parallel environments
* 2004: Affine-invariant face detection and localization using GMM-based feature detector and enhanced appearance model
* 2004: Simple Gabor feature space for invariant object recognition
* 2005: Feature-Based Affine-Invariant Localization of Faces
* 2005: Mottling Assessment of Solid Printed Areas and Its Correlation to Perceived Uniformity
* 2005: Object Evidence Extraction Using Simple Gabor Features and Statistical Ranking
* 2005: Toward Automatic Motor Condition Diagnosis
* 2006: Automating Visual Inspection of Print Quality
* 2006: Detecting irregularities in regular patterns
* 2006: Feature representation and discrimination based on Gaussian mixture model probability densities: Practices and algorithms
* 2006: Gaussian mixture pdf in one-class classification: computing and utilizing confidence values
* 2006: Invariance Properties of Gabor Filter-Based Features: Overview and Applications
* 2007: Automated Mottling Assessment of Colored Printed Areas
* 2007: DIARETDB1 diabetic retinopathy database and evaluation protocol, The
* 2007: Fast extraction of multi-resolution Gabor features
* 2007: Object Class Detection Using Local Image Features and Point Pattern Matching Constellation Search
* 2007: Visual Print Quality Evaluation Using Computational Features
* 2008: Challenges of Vision for Real-Time Sensor Based Control
* 2008: Detection of irregularities in regular patterns
* 2008: Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
* 2008: Simple and Robust Optic Disc Localisation Using Colour Decorrelated Templates
* 2009: Framework for Applying Full Reference Digital Image Quality Measures to Printed Images
* 2009: Fusion of Multiple Expert Annotations and Overall Score Selection for Medical Image Diagnosis
* 2009: Image Based Quantitative Mosaic Evaluation with Artificial Video
* 2009: Visual measurement and tracking in laser hybrid welding
* 2010: Automated Counting and Characterization of Dirt Particles in Pulp
* 2010: Making Visual Object Categorization More Challenging: Randomized Caltech-101 Data Set
* 2010: Unsupervised Visual Object Categorisation via Self-Organisation
* 2011: Adaptive Classification of Dirt Particles in Papermaking Process
* 2011: Bayesian network model of overall print quality: Construction and structural optimisation
* 2011: Improving Particle Segmentation from Process Images with Wiener Filtering
* 2012: Detection of bubbles as Concentric Circular Arrangements
* 2012: Unsupervised object discovery via self-organisation
* 2012: Visual saliency and categorisation of abstract images
* 2013: Detection of Curvilinear Structures by Tensor Voting Applied to Fiber Characterization
* 2013: Framework for developing image-based dirt particle classifiers for dry pulp sheets
* 2014: Comparison of Appearance-Based and Geometry-Based Bubble Detectors
* 2014: Comparison of General Object Trackers for Hand Tracking in High-Speed Videos
* 2014: Estimation of Bubble Size Distribution Based on Power Spectrum
* 2015: High-Speed Hand Tracking for Studying Human-Computer Interaction
* 2015: Segmentation of Overlapping Elliptical Objects in Silhouette Images
* 2015: Segmentation of Partially Overlapping Nanoparticles Using Concave Points
* 2015: Segmentation of Saimaa Ringed Seals for Identification Purposes
* 2016: Detection of bubbles as Concentric Circular Arrangements
* 2016: Segmentation of Partially Overlapping Convex Objects Using Branch and Bound Algorithm
* 2017: Comparison of Concave Point Detection Methods for Overlapping Convex Objects Segmentation
* 2017: Framework for Machine Vision Based Traffic Sign Inventory
* 2017: Joint facial expression recognition and intensity estimation based on weighted votes of image sequences
* 2017: Multi-camera Finger Tracking and 3D Trajectory Reconstruction for HCI Studies
* 2017: Towards Condition Analysis for Machine Vision Based Traffic Sign Inventory
* 2018: Automatic individual identification of Saimaa ringed seals
* 2018: Comparison of bubble detectors and size distribution estimators
* 2018: Comparison of Co-segmentation Methods for Wildlife Photo-identification
* 2018: Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks
* 2018: Identification of Saimaa Ringed Seal Individuals Using Transfer Learning
* 2018: Two-Camera Synchronization and Trajectory Reconstruction for a Touch Screen Usability Experiment
* 2019: Automated Segmentation of Nanoparticles in BF TEM Images by U-Net Binarization and Branch and Bound
* 2019: Fine-Grained Wood Species Identification Using Convolutional Neural Networks
* 2019: Timber Tracing with Multimodal Encoder-Decoder Networks
* 2020: Plankton Recognition in Images with Varying Size
* 2020: Resolving overlapping convex objects in silhouette images by concavity analysis and Gaussian process
* 2020: Siamese Network Based Pelage Pattern Matching for Ringed Seal Re-identification
* 2021: On De-Interlacing and Sub-Pixel Precision Tracking
* 2021: Virtual sawing using generative adversarial networks
* 2024: NORPPA: NOvel Ringed Seal Re-Identification by Pelage Pattern Aggregation
Includes: Kalviainen, H. Kälviäinen, H.[Heikki] (Maybe also Kaelviaeinen, H.)Kalviainen, H.[Heikki] Kälviäinen, H. (Maybe also Kaelviaeinen, H.)
96 for Kalviainen, H.
Kalvin, A.
* 1986: Two-Dimensional Model-Based, Boundary Matching Using Footprints
* 1988: Pyramid Segmentation in 2D and 3D Images Using Local Optimization
* 1988: Solving Jigsaw Puzzles by Computer
Kalvin, A.D.
* 1991: Segmentation and Surface-Based Modeling of Objects in Three-Dimensional Biomedical Images