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Nyström Approximated Temporally Constrained Multisimilarity Spectral Clustering Approach for Movie Scene Detection
Volume PP - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Movie scene detection has emerged as an important problem in present day multimedia applications. Since a movie typically consists of huge amount of video data with widespread content variations, detecting a movie scene has become extremely challenging. In...

Nyström Approximated Temporally Constrained Multisimilarity Spectral Clustering Approach for Movie Scene Detection
2018 Edition, Volume 48, March 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Movie scene detection has emerged as an important problem in present day multimedia applications. Since a movie typically consists of huge amount of video data with widespread content variations, detecting a movie scene has become extremely challenging. In...

Multi-modality movie scene detection using Kernel Canonical Correlation Analysis
2012 Edition, November 1, 2012 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Scene detection is the fundamental step for efficient accessing and browsing videos. In this paper, we propose to segment movie into scenes which utilizes fused visual and audio features. The movie is first segmented into shots by an accelerating algorithm,...

Scene change detection algorithm on specific movie
2009 Edition, Volume 03, February 1, 2009 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Scene detection is pretreatment to index video information in video search system, and it is very important technology for overall performance. Existing scene detection used single characteristic of pixel value difference, histogram difference, etc or mixed single...

Graph-based multi-modal scene detection for movie and teleplay
2012 Edition, March 1, 2012 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Automatic scene detection is a fundamental step for efficient video searching and browsing. This paper presents our current work on scene detection that integrates three effective strategies into a single framework. For each video, firstly, a coherence...

An Innovative Model of Tempo and Its Application in Action Scene Detection for Movie Analysis
2008 Edition, January 1, 2008 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

In this paper, we present an innovative model of tempo and its application in action scene detection for movie analysis. For the first time, we clearly propose that tempo indicates the rhythm of both movie scenarios and human perception. By thoroughly...

Scene-Change Detection using Locality Preserving Projections
2018 Edition, December 1, 2018 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Scene-Change Detection / Video Shot Boundary Detection is an important pre-processing step in applications like automatic content analysis or auto-captioning etc. The goal of scene-change detection is to divide the video stream into a set of meaningful and...

Scene emotion detection using closed caption based on hierarchical attention network
2017 Edition, October 1, 2017 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

This paper proposes a method of emotion detection using closed caption. Closed caption is a one of the texts related with video contents, which can be obtained actual dialogue information. Emotion information in video contents has been used in various service such as video recommendation,...

Robust and Efficient Video Scene Detection Using Optimal Sequential Grouping
2016 Edition, December 1, 2016 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

Video scene detection is the task of dividing a video into semantic sections. We propose a novel and effective method for temporal grouping of scenes using an arbitrary set of features computed from the video. We formulate the task of video scene...

Audiotory Movie Summarization by Detecting Scene Changes and Sound Events
2014 Edition, August 1, 2014 - IEEE - Institute of Electrical and Electronics Engineers, Inc.

A novel movie audio summarization framework is presented, which consists of three processing levels, namely, low-level audio feature extraction, mid-level audio event detection, and high-level auditory movie summarization. We first detect auditory changes in the...

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