A study on video data mining
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TLDR
The objective of video data mining is to discover and describe interesting patterns from the huge amount ofVideo data as it is one of the core problem areas of the data-mining research community.Abstract:
Data mining is a process of extracting previously unknown knowledge and detecting the interesting patterns from a massive set of data. Thanks to the extensive use of information technology and the recent developments in multimedia systems, the amount of multimedia data available to users has increased exponentially. Video is an example of multimedia data as it contains several kinds of data such as text, image, meta-data, visual and audio. It is widely used in many major potential applications like security and surveillance, entertainment, medicine, education programs and sports. The objective of video data mining is to discover and describe interesting patterns from the huge amount of video data as it is one of the core problem areas of the data-mining research community. Compared to the mining of other types of data, video data mining is still in its infancy. There are many challenging research problems existing with video mining. Beginning with an overview of the video data-mining literature, this paper concludes with the applications of video mining.read more
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References
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Journal ArticleDOI
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.
Journal ArticleDOI
Multimodal Video Indexing: A Review of the State-of-the-art
Cees G. M. Snoek,Marcel Worring +1 more
TL;DR: A unifying and multimodal framework is put forward, which views a video document from the perspective of its author, which forms the guiding principle for identifying index types, for which automatic methods are found in literature.
Multimodal Video Indexing: A Review of the State-of-the-art
Cees G. M. Snoek,Marcel Worring +1 more
TL;DR: In this paper, a unifying and multimodal framework is proposed to view a video document from the perspective of its author, which forms the guiding principle for identifying index types, for which automatic methods are found in literature.
Journal ArticleDOI
Automatic Video Classification: A Survey of the Literature
Darin Brezeale,Diane J. Cook +1 more
TL;DR: This paper surveys the video classification literature and finds that features are drawn from three modalities - text, audio, and visual - and that a large variety of combinations of features and classification have been explored.