Using objective ground-truth labels created by multiple annotators for improved video classification: A comparative study

No abstract is available for this paper.

• Publication year

  2013

• Venue

  Computer Vision and Image Understanding

• Publication date

  2013-10-01

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1016/j.cviu.2013.06.009
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Large-Scale Live Active Learning: Training Object Detectors with Crawled Data and Crowds

  2011cited by this paper
• Tiny Videos: A Large Data Set for Nonparametric Video Retrieval and Frame Classification

  2011influential reference
• crowdsourcing : rating annotators and obtaining cost-effective labels

  2010cited by this paper
• The Multidimensional Wisdom of Crowds

  2010cited by this paper
• Learning From Crowds

  2010influential reference
• Regression Learning with Multiple Noisy Oracles

  2010cited by this paper
• The Pascal Visual Object Classes (VOC) Challenge

  2010cited by this paper
• The benefits and challenges of collecting richer object annotations

  2010cited by this paper
• Efficient large-scale image annotation by probabilistic collaborative multi-label propagation

  2010cited by this paper
• Matchin: eliciting user preferences with an online game

  2009cited by this paper
• Mining Medical Images

  2009cited by this paper
• ImageNet: A large-scale hierarchical image database

  2009cited by this paper
• Semi-Supervised Classification

  2009cited by this paper
• Whose Vote Should Count More: Optimal Integration of Labels from Labelers of Unknown Expertise

  2009cited by this paper
• Inferring semantic concepts from community-contributed images and noisy tags

  2009cited by this paper
• Utility data annotation with Amazon Mechanical Turk

  2008cited by this paper
• Veritas: Combining Expert Opinions without Labeled Data

  2008cited by this paper
• Get another label? improving data quality and data mining using multiple, noisy labelers

  2008cited by this paper
• LabelMe: A Database and Web-Based Tool for Image Annotation

  2008cited by this paper
• Multilevel Bayesian Models of Categorical Data Annotation

  2008cited by this paper
• 80 Million Tiny Images: A Large Data Set for Nonparametric Object and Scene Recognition

  2008cited by this paper
• Video abstraction: A systematic review and classification

  2007cited by this paper
• Large Scale Transductive SVMs

  2006influential reference
• Label Propagation through Linear Neighborhoods

  2006cited by this paper
• An introduction to ROC analysis

  2006cited by this paper
• Actions as space-time shapes

  2005cited by this paper
• Unsupervised and Semi-Supervised Multi-Class Support Vector Machines

  2005cited by this paper
• Scalable temporal interest points for abstraction and classification of video events

  2005cited by this paper
• Histograms of oriented gradients for human detection

  2005cited by this paper
• Semi-Supervised Self-Training of Object Detection Models

  2005cited by this paper
• Subjective age estimation system using facial images - how old we feel compared to others

  2005cited by this paper
• Labeling images with a computer game

  2004cited by this paper
• Recognizing human actions: a local SVM approach

  2004cited by this paper
• Regularization and Semi-supervised Learning on Large Graphs

  2004cited by this paper
• Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation

  2004cited by this paper
• The CMU Pose, Illumination, and Expression Database

  2003cited by this paper
• Mean shift based clustering in high dimensions: a texture classification example

  2003cited by this paper
• A novel video key-frame-extraction algorithm based on perceived motion energy model

  2003cited by this paper
• Semi Supervised Logistic Regression

  2002cited by this paper
• Content-boosted collaborative filtering for improved recommendations

  2002cited by this paper
• Mean Shift: A Robust Approach Toward Feature Space Analysis

  2002cited by this paper
• Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope

  2001cited by this paper
• A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics

  2001cited by this paper
• A Trainable System for Object Detection

  2000cited by this paper
• Text Classification from Labeled and Unlabeled Documents using EM

  2000cited by this paper
• Meta-analysis: formulating, evaluating, combining, and reporting.

  1999cited by this paper
• Transductive Inference for Text Classification using Support Vector Machines

  1999cited by this paper
• TUTORIAL IN BIOSTATISTICS META-ANALYSIS : FORMULATING , EVALUATING , COMBINING , AND REPORTING

  1999cited by this paper
• Evaluation of diagnostic tests without gold standards

  1998cited by this paper
• Addressing the Curse of Imbalanced Training Sets: One-Sided Selection

  1997cited by this paper
• An integrated system for content-based video retrieval and browsing

  1997cited by this paper
• Automatic identification of gray matter structures from MRI to improve the segmentation of white matter lesions.

  1995cited by this paper
• Meta-analytic methods for diagnostic test accuracy.

  1995cited by this paper
• Efficient matching and clustering of video shots

  1995cited by this paper
• Inferring Ground Truth from Subjective Labelling of Venus Images

  1994influential reference
• Statistical Modeling of Expert Ratings on Medical Treatment Appropriateness

  1993cited by this paper
• Routine quantitative analysis of brain and cerebrospinal fluid spaces with MR imaging

  1992cited by this paper
• Estimating the error rates of diagnostic tests.

  1980cited by this paper
• Maximum Likelihood Estimation of Observer Error‐Rates Using the EM Algorithm

  1979cited by this paper
• Computer Vision and Image Understanding

  year unknowncited by this paper

• Oppositional Grass Hopper Optimization with Fuzzy Classifier for Face Recognition from Video Database

  2023cites this paper
• Intelligent Decision Support System (IDSS) to Optimize 2D Materials Detection Using Digital Image Processing and Deep Learning

  2021cites this paper
• Weak Ground Truth Determination of Continuous Human-Rated Data

  2021cites this paper
• Gravitational search-based optimal deep neural network for occluded face recognition system in videos

  2020cites this paper
• Machine learning from crowds: A systematic review of its applications

  2018cites this paper
• Vector quantized optimal stage wise video frame classifier for human face recognition

  2017cites this paper
• A Framework for Event Classification from Video Sequences using Bayesian Neural Network

  2016cites this paper
• Modeling annotator behaviors for crowd labeling

  2015cites this paper
• Towards the Automated Detection and Characterization of Osteoclasts in Microscopic Images

  2012cites this paper