Stem pixel$ (all stems)

79 papers:

CHI-2015-LischkeM0SH #tablet

Subjective and Objective Effects of Tablet’s Pixel Density (LL, SM, KW, ASS, NH), pp. 2769–2772.

VLDB-2014-JugelJHM #performance #visual notation

Faster Visual Analytics through Pixel-Perfect Aggregation (UJ, ZJ, GH, VM), pp. 1705–1708.

CHI-2014-DixonLF #implementation #runtime

Pixel-based methods for widget state and style in a runtime implementation of sliding widgets (MED, GL, JAF), pp. 2231–2240.

ICPR-2014-DanismanBD #evaluation #gender #normalisation #recognition

Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings (TD, IMB, CD), pp. 3144–3149.

ICPR-2014-Gonzalez-CastroDC #adaptation #classification #using

Pixel Classification Using General Adaptive Neighborhood-Based Features (VGC, JD, VC), pp. 3750–3755.

ICPR-2014-SicreTG #difference #image

SuperPixel Based Angular Differences as a Mid-level Image Descriptor (RS, HET, TG), pp. 3732–3737.

ICDAR-2013-MehriHGBM #approach

A Pixel Labeling Approach for Historical Digitized Books (MM, PH, PGK, AB, RM), pp. 817–821.

ICDAR-2013-SurintaSW #comparison

A Comparison of Feature and Pixel-Based Methods for Recognizing Handwritten Bangla Digits (OS, LS, MW), pp. 165–169.

CHI-2013-LaputDWCALA #editing #image #interface #multimodal #named

PixelTone: a multimodal interface for image editing (GL, MD, GW, WC, AA, JL, EA), pp. 2185–2194.

SEKE-2013-AlviD #classification #fuzzy #image #using

Image Steganography Using Fuzzy Domain Transformation and Pixel Classification (AKA, RD), pp. 277–282.

CHI-2012-DixonFW #analysis #interface #using #visual notation

A general-purpose target-aware pointing enhancement using pixel-level analysis of graphical interfaces (MD, JF, JOW), pp. 3167–3176.

CHI-2012-SchwarzKHDW #ad hoc #mobile #scalability #using

Phone as a pixel: enabling ad-hoc, large-scale displays using mobile devices (JS, DK, CH, PD, AW), pp. 2235–2238.

ICPR-2012-MizukamiONNT

Sub-pixel disparity search for binocular stereo vision (YM, KO, AN, SN, KT), pp. 364–367.

ICPR-2012-RodriguesPBPM #image #multi #segmentation #towards #using

Towards breast ultrasound image segmentation using multi-resolution pixel descriptors (RR, AMGP, RB, MP, JM), pp. 2833–2836.

ICPR-2012-SunLI #quality #scalability

A pixel-domain mode-mapping based SVC-to-AVC transcoder with coarse grain quality scalability (LS, ZL, TI), pp. 939–942.

ICPR-2012-VieuxD #classification #clustering #documentation #image

Hierarchical clustering model for pixel-based classification of document images (RV, JPD), pp. 290–293.

ICPR-2012-ZhangZX #segmentation

MRI segmentation of brain tissue based on spatial prior and neighboring pixels affinities (ZZ, QZ, YX), pp. 89–92.

FSE-2012-XuCBB #design #video

From pixels to bytes: evolutionary scenario based design with video (HX, OC, NB, BB), p. 31.

ICDAR-2011-ColuttoG #difference #performance #recognition #using #word

Efficient Word Recognition Using a Pixel-Based Dissimilarity Measure (SC, BG), pp. 1110–1114.

CHI-2011-DixonLF #interface #reverse engineering

Content and hierarchy in pixel-based methods for reverse engineering interface structure (MD, DL, JF), pp. 969–978.

SAC-2011-ChenB #documentation #image

Pixel accurate document image content extraction (SC, HSB), pp. 245–251.

CHI-2010-DixonF #behaviour #implementation #interface #named #reverse engineering #using

Prefab: implementing advanced behaviors using pixel-based reverse engineering of interface structure (MD, JF), pp. 1525–1534.

ICEIS-AIDSS-2010-SahaPMB #classification #clustering #difference #image #using

Improvement of Differential Crisp Clustering using ANN Classifier for Unsupervised Pixel Classification of Satellite Image (IS, DP, UM, SB), pp. 21–29.

ICPR-2010-AnthimopoulosVG #detection #evaluation #image

A Pixel-Based Evaluation Method for Text Detection in Color Images (MA, NV, BG), pp. 3264–3267.

ICPR-2010-AnYB #documentation #segmentation #using

Document Segmentation Using Pixel-Accurate Ground Truth (CA, DY, HSB), pp. 245–248.

ICPR-2010-GuoH #using

Cascaded Background Subtraction Using Block-Based and Pixel-Based Codebooks (JMG, CSH), pp. 1373–1376.

ICPR-2010-MelendezPG #adaptation #classification #on the #segmentation

On Adapting Pixel-based Classification to Unsupervised Texture Segmentation (JM, DP, MAG), pp. 854–857.

ICPR-2010-NishidaKOH #algorithm #using #visual notation

Visual Tracking Algorithm Using Pixel-Pair Feature (KN, TK, YO, MH), pp. 1808–1811.

ICPR-2010-PhamTN #bound #segmentation #similarity #using

Bounding-Box Based Segmentation with Single Min-cut Using Distant Pixel Similarity (VQP, KT, TN), pp. 4420–4423.

ICPR-2010-SuLY #recognition

Symbol Recognition Combining Vectorial and Pixel-Level Features for Line Drawings (FS, TL, RY), pp. 1892–1895.

ICPR-2010-TanakaKO

Progressive MAP-based Deconvolution with Pixel-Dependent Gaussian Prior (MT, TK, MO), pp. 4428–4431.

ICPR-2010-WangLS #documentation #identification #using

Noise Tolerant Script Identification of Printed Oriental and English Documents Using a Downgraded Pixel Density Feature (NW, LL, CYS), pp. 2037–2040.

ICDAR-2009-SarkarSL #documentation #image

Classifying Foreground Pixels in Document Images (PS, ES, JL), pp. 641–645.

ICDAR-2009-SaundLS #documentation #image #named #user interface

PixLabeler: User Interface for Pixel-Level Labeling of Elements in Document Images (ES, JL, PS), pp. 646–650.

ICDAR-2009-ZhangL #recognition #statistics

A Pixel-level Statistical Structural Descriptor for Shape Measure and Recognition (JZ, WL), pp. 386–390.

CHI-2009-SeitingerPM

Urban pixels: painting the city with light (SS, DSP, WJM), pp. 839–848.

SIGMOD-2008-Shneiderman #visualisation

Extreme visualization: squeezing a billion records into a million pixels (BS), pp. 3–12.

ICPR-2008-ZhangGY #3d #adaptation #modelling

Local stereo matching with 3D adaptive cost aggregation for slanted surface modeling and sub-pixel accuracy (YZ, MG, YHY), pp. 1–4.

ICPR-2008-ZhongYSCG #clustering #using

Hierarchical background subtraction using local pixel clustering (BZ, HY, SS, XC, WG), pp. 1–4.

DRR-2007-GormishBBFS #documentation #representation #semantics

Pixel and semantic capabilities from an image-object based document representation (MJG, KB, MPB, GF, ELS).

ICDAR-2007-BuchaAU #image

Image Pixel Force Fields and their Application for Color Map Vectorisation (VB, SA, SU), pp. 1228–1242.

OCSC-2007-HuL #named #social

PixelWish: Collective Wish-Making and Social Cohesion (CH, SMSL), pp. 80–85.

ICPR-v1-2006-Fisher #distributed

Scene recovery from many randomly distributed single pixel cameras (RBF), pp. 988–991.

ICPR-v1-2006-HuaWCW #algorithm

A Pixel-wise Object Tracking Algorithm with Target and Background Sample (CH, HW, QC, TW), pp. 739–742.

ICPR-v1-2006-MiaoQS #composition #principle #using

Unsupervised Decomposition of Mixed Pixels Using the Maximum Entropy Principle (LM, HQ, HS), pp. 1067–1070.

ICPR-v1-2006-ShafaitKB #documentation #evaluation #image #representation #segmentation

Pixel-Accurate Representation and Evaluation of Page Segmentation in Document Images (FS, DK, TMB), pp. 872–875.

ICPR-v1-2006-ZhouW #symmetry

Symmetric Pixel-Group Based Stereo Matching for Occlusion Handling (XZ, RW), pp. 47–50.

ICPR-v2-2006-ChiangK #classification #using

Classification of Line and Character Pixels on Raster Maps Using Discrete Cosine Transformation Coefficients and Support Vector Machine (YYC, CAK), pp. 1034–1037.

ICPR-v2-2006-KelmPM #classification #generative #learning #multi

Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning (BMK, CP, AM), pp. 828–832.

ICPR-v3-2006-BeveridgeSR #classification #comparison #detection #naive bayes #using

A Comparison of Pixel, Edge andWavelet Features for Face Detection using a Semi-Naive Bayesian Classifier (JRB, JS, BR), pp. 1175–1178.

ICPR-v3-2006-TanakaO

Neighbor Pixel Mixture (MT, MO), pp. 647–650.

ICPR-v3-2006-ZhangR06a #classification #integration #robust #visual notation

Robust Visual Tracking via Pixel Classification and Integration (CZ, YR), pp. 37–42.

ICPR-v4-2006-BuchaUA #interactive

Interactive Road Extraction with Pixel Force Fields (VB, SU, SA), pp. 829–832.

ICDAR-2005-ShivakumaraKVRN #documentation #estimation #image #using #word

A New Moments based Skew Estimation Technique using Pixels in the Word for Binary Document Images (PS, GHK, HSV, SR, MRRN), pp. 151–156.

ICML-2005-GlocerET #classification #feature model #online

Online feature selection for pixel classification (KAG, DE, JT), pp. 249–256.

ICPR-v1-2004-Zou #adaptation #image

Reducing Artifacts in BDCT-Coded Images by Adaptive Pixel-Adjustment (JJZ), pp. 508–511.

ICPR-v3-2004-GinnekenL #image #segmentation

Pixel Position Regression — Application to Medical Image Segmentation (BvG, ML), pp. 718–721.

ICPR-v3-2004-NishiF #analysis #using #video

Object-Based Video Coding Using Pixel State Analysis (TN, HF), pp. 306–309.

CHI-2003-FurnasQ #interactive #using

Using pixel rewrites for shape-rich interaction (GWF, YQ), pp. 369–376.

CIKM-2002-StehlingNF #approach #classification #image #performance #retrieval

A compact and efficient image retrieval approach based on border/interior pixel classification (ROS, MAN, AXF), pp. 102–109.

ICPR-v2-2002-LoogG #classification #segmentation

Supervised Segmentation by Iterated Contextual Pixel Classification (ML, BvG), pp. 925–928.

ICPR-v3-2002-IkedaNFHSAOK #image

Fingerprint Image Enhancement by Pixel-Parallel Processing (NI, MN, KF, TH, SS, TA, YO, HK), pp. 752–755.

ICPR-v3-2002-MottlKKYK #grid #identification #image #similarity

Elastic Transformation of the Image Pixel Grid for Similarity Based Face Identification (VM, AK, AK, AY, JK), pp. 549–552.

ICPR-v1-2000-BrandM #assessment #comparative #detection

A Comparative Assessment of Three Approaches to Pixel-Level Human Skin-Detection (JB, JSDM), pp. 5056–5059.

ICPR-v1-2000-VilarinoCPB

Pixel-Level Snakes (DLV, DC, XMP, VMB), pp. 1640–1643.

ICPR-v3-2000-AchardBD #detection #multi

A Sub-Pixel and Multispectral Corner Detector (CA, EB, JD), pp. 3971–3974.

ICPR-v3-2000-CamilleriP #bound #refinement

Spectral Unmixing of Mixed Pixels for Texture Boundary Refinement (KPC, MP), pp. 7096–7099.

ICPR-v3-2000-VandenbrouckeMP #classification #image #segmentation

Color Image Segmentation by Supervised Pixel Classification in a Color Texture Feature Space: Application to Soccer Image Segmentation (NV, LM, JGP), pp. 3625–3628.

ICDAR-1999-KimKL #recognition

Stroke-guided Pixel Matching for Handwritten Chinese Character Recognition (IJK, JHK, CLL), pp. 665–668.

DATE-1998-RassauYCLECW #2d #implementation #mobile #parallel

Smart Pixel Implementation of a 2-D Parallel Nucleic Wavelet Transform for Mobile Multimedia Communications (AMR, TCBY, HC, SL, KE, WAC, TDW), pp. 191–195.

ICPR-1998-SuriHS #automation #bound #classification #polynomial

Automatic quadratic calibration for correction of pixel classification boundaries to an accuracy of 2.5 millimeters: an application in cardiac imaging (JSS, RMH, FHS), pp. 30–33.

ICPR-1996-AstromH #analysis #detection #modelling #probability

Stochastic modelling and analysis of sub-pixel edge detection (KÅ, AH), pp. 86–90.

ICPR-1996-Chen #detection #parallel

The use of hidden deletable pixel detection to obtain bias-reduced skeletons in parallel thinning (YSC), pp. 91–95.

ICPR-1996-Gimelfarb #interactive #multi

Non-Markov Gibbs texture model with multiple pairwise pixel interactions (GLG), pp. 591–595.

ICPR-1996-KalviainenBPK #classification #random

Mixed pixel classification with the randomized Hough transform (HK, PB, MP, JK), pp. 576–580.

ICPR-1996-LiuD #algorithm #performance

Sparse pixel tracking: a fast vectorization algorithm applied to engineering drawings (WL, DD), pp. 808–812.

ICPR-1996-ZhangW #algorithm #parallel

A parallel thinning algorithm with two-subiteration that generates one-pixel-wide skeletons (EYYZ, PSPW), pp. 457–461.

ICDAR-1993-Srihari #modelling #recognition

From pixels to paragraphs: The use of contextual models in text recognition (SNS), pp. 416–423.

INTERCHI-1993-Potter #automation #programming #user interface

Guiding automation with pixels (abstract): a technique for programming in the user interface (RP), p. 530.