Journal ArticleDOI
An integrated system for content-based video retrieval and browsing
TLDR
These processes and a set of tools to facilitate content-based video retrieval and browsing using the feature data set are presented in detail as functions of an integrated system.About:
This article is published in Pattern Recognition.The article was published on 1997-04-01. It has received 535 citations till now. The article focuses on the topics: Video browsing & Video tracking.read more
Citations
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Journal ArticleDOI
Video abstraction: A systematic review and classification
Ba Tu Truong,Svetha Venkatesh +1 more
TL;DR: The purpose of this article is to provide a systematic classification of various ideas and techniques proposed towards the effective abstraction of video contents, and identify and detail, for each approach, the underlying components and how they are addressed in specific works.
Proceedings ArticleDOI
Discovering important people and objects for egocentric video summarization
TL;DR: This work introduced novel egocentric features to train a regressor that predicts important regions and produces significantly more informative summaries than traditional methods that often include irrelevant or redundant information.
Proceedings ArticleDOI
Adaptive key frame extraction using unsupervised clustering
TL;DR: A new algorithm for key frame extraction based on unsupervised clustering is introduced, both computationally simple and able to adapt to the visual content, which is validated by large amount of real-world videos.
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A Survey on Visual Content-Based Video Indexing and Retrieval
TL;DR: Methods for video structure analysis, including shot boundary detection, key frame extraction and scene segmentation, extraction of features including static key frame features, object features and motion features, video data mining, video annotation, and video retrieval including query interfaces are analyzed.
Proceedings ArticleDOI
A user attention model for video summarization
TL;DR: A generic framework of video summarization based on the modeling of viewer's attention is presented, which takes advantage of computational attention models and eliminates the needs of complex heuristic rules inVideo summarization.
References
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Journal ArticleDOI
Color indexing
Michael J. Swain,Dana H. Ballard +1 more
TL;DR: In this paper, color histograms of multicolored objects provide a robust, efficient cue for indexing into a large database of models, and they can differentiate among a large number of objects.
Proceedings ArticleDOI
Similarity of color images
Markus Stricker,Markus Orengo +1 more
TL;DR: Two new color indexing techniques are described, one of which is a more robust version of the commonly used color histogram indexing and the other which is an example of a new approach tocolor indexing that contains only their dominant features.
Journal ArticleDOI
Automatic partitioning of full-motion video
TL;DR: A twin-comparison approach has been developed to solve the problem of detecting transitions implemented by special effects, and a motion analysis algorithm is applied to determine whether an actual transition has occurred.