Skip to main navigation
Skip to search
Skip to main content
Istanbul Technical University Home
English
Türkçe
Home
Profiles
Research units
Projects
Research output
Prizes
Student theses
Search by expertise, name or affiliation
Online video scene clustering by competitive incremental NMF
Serhat Selcuk Bucak,
Bilge Gunsel
*
*
Corresponding author for this work
Department of Electronics and Communication Engineering
Michigan State University
Research output
:
Contribution to journal
›
Article
›
peer-review
3
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Online video scene clustering by competitive incremental NMF'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Convolutive Nonnegative Matrix Factorization
100%
Incremental NMF
100%
Video Scene
100%
Online Video
100%
Scene Clustering
100%
High-dimensional Data
66%
Cluster Performance
66%
Large Volume
33%
Segmentation Method
33%
Clustering Methods
33%
Non-negative Matrix Factorization
33%
Performance Comparison
33%
Video Data
33%
Competitive Learning
33%
Efficiency Increase
33%
Content Representation
33%
Recall-precision
33%
Efficient Clustering
33%
Video Summarization
33%
TRECVID
33%
Video Sequences
33%
Content-based
33%
Clustering Scheme
33%
Number of Clusters
33%
Representation Tools
33%
Video Content
33%
Comp
33%
Algorithm Accuracy
33%
Online Processing
33%
Adaptive Resonance Theory
33%
Recall Measures
33%
Precision Measure
33%
Video Applications
33%
Video Clustering
33%
Learning Scheme
33%
Video Analysis
33%
Online Representation
33%
Systematic Solution
33%
Clustering Segmentation
33%
Rank Selection
33%
F1-measure
33%
Computer Science
nonnegative matrix factorization
100%
High Dimensional Data
50%
Clustering Technique
25%
Performance Comparison
25%
Biggest Challenge
25%
Video Summarization
25%
Video Sequences
25%
Clustering Scheme
25%
Video Application
25%
Baseline Method
25%
Online Processing
25%
Learning Scheme
25%
Segmentation Method
25%