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Proceedings ArticleDOI

Local Binary Pattern Based Shot Boundary Detection for Video Summarization

S. Kaavya, +1 more
- pp 165-169
TLDR
An approach for shot boundary detection and keyframe extraction for detecting video shots is proposed and an efficient keyframe, which contains salient information of a shot is proposed based on local maxima analysis.
Abstract
Video Summarization plays a vital role in the internet user's life, especially for those searching for user specified video of interest for a long time. In order to provide support for users in terms of searching and retrieving video content, it is necessary to segment the video into shots and extract representative frame of each shot which acts as a summary of the video. So, in this paper, an approach for shot boundary detection and keyframe extraction is proposed. To provide a better summarization of video, Local Binary Pattern (LBP) based feature extraction for detecting video shots is performed in order to identify objects motion information. Based on local maxima analysis, an efficient keyframe, which contains salient information of a shot is proposed. The performance of the proposed work is evaluated using evaluation metrics like Precision, Recall, and F1-Measure.

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Citations
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Proceedings ArticleDOI

Video Shot Detection based on SIFT Features and Video Summarization using Expectation-Maximization

TL;DR: This paper has coordinated both the ideas of shot detection and summarization for the better result of the outcomes.
Journal ArticleDOI

A Framework for Multimedia Event Classification With Convoluted Texture Feature

TL;DR: The objective of the work was to extract better features and model a classifier for the Multimedia Event Detection task, and it is proved that the proposed work obtained outstanding performance.
References
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A Completed Modeling of Local Binary Pattern Operator for Texture Classification

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TL;DR: A novel and efficient texture-based method for modeling the background and detecting moving objects from a video sequence that provides many advantages compared to the state-of-the-art.
Journal ArticleDOI

Description of interest regions with local binary patterns

TL;DR: A new texture feature called center-symmetric local binary pattern (CS-LBP) is introduced that is a modified version of the well-known localbinary pattern (LBP), and is computationally simpler than the SIFT.
Journal ArticleDOI

Comparison of video shot boundary detection techniques

TL;DR: This paper presents a comparison of several shot boundary detection and classification techniques and their variations including histograms, discrete cosine transform, motion vector, and block matching methods.