Sciweavers

Free Online Productivity Tools i2Speak i2Symbol i2OCR iTex2Img iWeb2Print iWeb2Shot i2Type iPdf2Split iPdf2Merge i2Bopomofo i2Arabic i2Style i2Image i2PDF iLatex2Rtf Sci2ools

7

PCM
2004
Springer

favoriteEmaildiscussreport

228views Multimedia» more PCM 2004»

Automatic Video Genre Detection for Content-Based Authoring

13 years 9 months ago

Automatic Video Genre Detection for Content-Based Authoring

Download ivylab.kaist.ac.kr

In this paper, we propose a new video genre detection using semantic classiﬁcation with multi-modal features. MPEG-7 audio-visual descriptors are used as multi-modal features. From the low-level multimodal features, genre as high-level semantic meaning is detected by using GINI index in Classiﬁcation And Regression Tree (CART) algorithm. Experimental results show that the proposed method is useful to detect video genre automatically with a high detection rate.

Sung Ho Jin, Tae Meon Bae, Yong Man Ro

Real-time Traffic

Multi-modal Features | Multimedia | PCM 2004 | Video Genre | Video Genre Detection |

claim paper

Related Content

» ContentBased Video Description for Automatic Video Genre Categorization

» Automatic Genre Identification for ContentBased Video Categorization

» An SVM Framework for GenreIndependent Scene Change Detection

» Toward an Application of ContentBased Video Indexing to Computer Assisted Descriptive Vide...

» Topology Dictionary with Markov Model for 3D Video ContentBased Skimming and Description

» Knowing funny genre perception and categorization in social video sharing

» Sports video categorizing method using camera motion parameters

» Using MPEG7 for Automatic Annotation of Audiovisual Content in eLearning Digital Libraries

» Improved CutBased Foreground Identification

Post Info
More Details (n/a)

Added	02 Jul 2010
Updated	02 Jul 2010
Type	Conference
Year	2004
Where	PCM
Authors	Sung Ho Jin, Tae Meon Bae, Yong Man Ro

Comments (0)