Temporal video segmentation using a colour-texture histogram

Author(s):  
A. Vadivel ◽  
Shamik Sural ◽  
A.K. Majumdar
2001 ◽  
Vol 16 (5) ◽  
pp. 477-500 ◽  
Author(s):  
Irena Koprinska ◽  
Sergio Carrato

Author(s):  
Hajar Sadeghi Sokeh ◽  
Vasileios Argyriou ◽  
Dorothy Monekosso ◽  
Paolo Remagnino

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.


Author(s):  
Daniel Rotman ◽  
Dror Porat ◽  
Yevgeny Burshtein ◽  
Udi Barzelay

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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