NDLI: LabelMovie: Semi-supervised machine annotation tool with quality assurance and crowd-sourcing options for videos

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2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI)

2014 12th International Workshop on Content-Based Multimedia Indexing (CBMI)

Preface

A robust audio fingerprinting method for content-based copy detection

Unsupervised feature learning for content-based histopathology image retrieval

Symmetry-based alignment for 3D model retrieval

Using semantic features to improve large-scale visual concept detection

A large-scale audio and video fingerprints-generated database of TV repeated contents

Fast large-scale multimedia indexing and searching

Bags of Trajectory Words for video indexing

Searching images with MPEG-7 (& MPEG-7-like) Powered Localized dEscriptors: The SIMPLE answer to effective Content Based Image Retrieval

Locally Linear Salient Coding for image classification

Online multimodal matrix factorization for human action video indexing

Scalable video summarization of cultural video documents in cross-media space based on data cube approach

Inverse square rank fusion for multimodal search

Task-based assessment of performance and cost-effectiveness of automatic metadata extraction

Benchmarking Violent Scenes Detection in movies

Comparison of two methods for unsupervised person identification in TV shows

Scene understanding for identifying persons in TV shows: Beyond face authentication

Evaluation of super-resolution methods in the context of colonic polyp classification

Diffusion Tensor Imaging retrieval for Alzheimer's disease diagnosis

TAME-Diff: Smart differencing of time-aligned multimedia metadata

SeViAnno 2.0: Web-enabled collaborative semantic video annotation beyond the obvious

An adaptive CBIR system for remote sensed data

Evaluation of second-order visual features for land-use classification

Comparing the information extracted by feature descriptors from EO images using Huffman coding

Bag of morphological words for content-based geographical retrieval

Automatic object annotation from weakly labeled data with latent structured SVM

Ultrasound image processing based on machine learning for the fully automatic evaluation of the Carotid Intima-Media Thickness

Mode of teaching based segmentation and annotation of video lectures

Detecting image communities

Efficient approximate nearest neighbor search by optimized residual vector quantization

Novel fourier descriptor based on complex coordinates shape signature

Annotation of still images by multiple visual concepts

Augmenting training sets with still images for video concept detection

Improving tag transfer for image annotation using visual and semantic information

Uploader models for video concept detection

Enhancing region-based object tracking with the SP-SIFT feature

Automatic propagation of manual annotations for multimodal person identification in TV shows

LabelMovie: Semi-supervised machine annotation tool with quality assurance and crowd-sourcing options for videos

Towards efficient multimedia exploration using the metric space approach

AXES-RESEARCH — A user-oriented tool for enhanced multimodal search and retrieval in audiovisual libraries

2013 11th International Workshop on Content-Based Multimedia Indexing (CBMI)

2012 10th International Workshop on Content-Based Multimedia Indexing (CBMI)

2011 9th International Workshop on Content-Based Multimedia Indexing (CBMI)

2010 International Workshop on Content Based Multimedia Indexing (CBMI)

2009 Seventh International Workshop on Content-Based Multimedia Indexing

2008 International Workshop on Content-Based Multimedia Indexing

2007 International Workshop on Content-Based Multimedia Indexing

LabelMovie: Semi-supervised machine annotation tool with quality assurance and crowd-sourcing options for videos

Content Provider	IEEE Xplore Digital Library
Author	Palotai, Z. Lang, M. Sarkany, A. Toser, Z. Sonntag, D. Toyama, T. Lorincz, A.
Copyright Year	2014
Description	Author affiliation: Colleyeder Ltd., Budapest, Hungary (Palotai, Z.; Lang, M.; Sarkany, A.; Toser, Z.) \|\| German Res. Center for Artif. Intell., Saarbrucken, Germany (Sonntag, D.) \|\| German Res. Center for Artif. Intell., Kaiserslautern, Germany (Toyama, T.) \|\| Eotvos Lorand Univ., Budapest, Hungary (Lorincz, A.)
Abstract	For multiple reasons, the automatic annotation of video recordings is challenging. The amount of database video instances to be annotated is huge, tedious manual labeling sessions are required, the multi-modal annotation needs exact information of space, time, and context, and the different labeling opportunities require special agreements between annotators, and alike. Crowd-sourcing with quality assurance by experts may come to the rescue here. We have developed a special tool: individual experts can annotate videos over the Internet, their work can be joined and filtered, the annotated material can be evaluated by machine learning methods, and automated annotation may start according to a predefined confidence level. A relatively small number of manually labeled instances may efficiently bootstrap the machine annotation procedure. We present the new mathematical concepts and algorithms for semi-supervised induction and the corresponding manual annotation tool which features special visualization methods for crowd-sourced users. A special feature is that the annotation tool is usable for users not familiar with machine learning methods; for example, we allow them to ignite and handle a complex bootstrapping process.
Sponsorship	IEEE
Starting Page	1
Ending Page	4
File Size	395971
Page Count	4
File Format	PDF
ISBN	9781479939909
ISSN	19493991
DOI	10.1109/CBMI.2014.6849850
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-06-18
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality assurance Navigation Estimation Games Multimedia communication Kernel Videos
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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