A Temporal Video Segmentation and Summary Generation Method Based on Shots' Abrupt and Gradual Transition Boundary Detecting

2010 ◽  
Author(s):  
Yinzi Chen ◽  
Yang Deng ◽  
Yonglei Guo ◽  
Wendong Wang ◽  
Yanming Zou ◽  
...  
Keyword(s):  
Video Segmentation ◽  
Gradual Transition ◽  
Transition Boundary ◽  
Temporal Video Segmentation

Temporal video segmentation: A survey

2001 ◽  
Vol 16 (5) ◽  
pp. 477-500 ◽  
Author(s):  
Irena Koprinska ◽  
Sergio Carrato
Keyword(s):  
Video Segmentation ◽  
Temporal Video Segmentation

scholarly journals Superframes, A Temporal Video Segmentation

2018 ◽  
Author(s):  
Hajar Sadeghi Sokeh ◽  
Vasileios Argyriou ◽  
Dorothy Monekosso ◽  
Paolo Remagnino
Keyword(s):  
Video Segmentation ◽  
Temporal Video Segmentation

scholarly journals An Efficient and Robust Temporal Video Segmentation

2019 ◽  
Vol 9 (1) ◽  
pp. 4332-4337
Keyword(s):  
Video Segmentation ◽  
Video Retrieval ◽  
Boundary Detection ◽  
Detection Methods ◽  
Shot Boundary Detection ◽  
Feature Descriptor ◽  
Local Contrast ◽  
Temporal Video Segmentation ◽  
Shot Boundary ◽  
Content Based Video Retrieval

Temporal video segmentation is the primary step of content based video retrieval. The whole processes of video management are coming under the focus of content based video retrieval, which includes, video indexing, video retrieval, and video summarization etc. In this paper, we proposed a computationally efficient and discriminating shot boundary detection method, which uses a local feature descriptor named local Contrast and Ordering (LCO) for feature extraction. The results of the experiments, which are conducted on the video dataset TRECVid, analyzed and compared with some existing shot boundary detection methods. The proposed method has given a promising result, even in the cases of illumination changes, rotated images etc.

scholarly journals Temporal Video Analyzer (TVAN): Efficient Temporal Video Analysis for Robust Video Description and Search

2019 ◽  
Vol 33 ◽  
pp. 9871-9872
Author(s):  
Daniel Rotman ◽  
Dror Porat ◽  
Yevgeny Burshtein ◽  
Udi Barzelay
Keyword(s):  
Video Analysis ◽  
Visual Recognition ◽  
Video Segmentation ◽  
Video Content ◽  
Content Consumption ◽  
Video Description ◽  
Scene Representation ◽  
Scene Description ◽  
Temporal Video Segmentation ◽  
Main Components

With the increasing popularity of video content, automatic video understanding is becoming more and more important for streamlining video content consumption and reuse. In this work, we present TVAN—temporal video analyzer—a system for temporal video analysis aimed at enabling efficient and robust video description and search. Its main components include: temporal video segmentation, compact scene representation for efficient visual recognition, and concise scene description generation. We provide a technical overview of the system, as well as demonstrate its usefulness for the task of video search and navigation.

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