VIMS: A Video Information Management System

Lee, John Chung-Mong; Li, Qing; Xiong, Wei

doi:10.1007/978-0-585-31786-1_2

Cited by 2 publications

(3 citation statements)

References 16 publications

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“…One indexing technique labels video contents through the comment in keywords or text, while another automatically identifies sections of video via signal analysis. Also, there is hierarchical browsing or searching using tree structure index methods [15], key color used index method [16], and scenebased retrieval method to use fore-saved scenes [12]. III.…”

Section: B Video Browsing and Searchingmentioning

confidence: 99%

Design and Implementation of Digital Contents Authoring Tools with Metadata

Chun

Shin

Lee

et al. 2009

2009 International Conference on Computer Engineering and Technology

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The advancement of information technology along with the proliferation of communication and multimedia, have increased the demand of digital contents. Video data of digital contents such as VOD (video on Demand), NOD (News on Demand), Digital Library, IPTV (Internet Protocol Television), and UCC (User Created Contents) are getting more permeated in various application fields. Video data have sequential characteristic besides providing the spatial and temporal information in its 3D format, making searching or browsing ineffective due to long turnaround time.In this paper, we suggest ATVC (Authoring Tool for Video Contents) for solving this issue. ATVC is a video editing tool that detects key frames using visual rhythm and insert metadata such as keywords into key frames via XML tagging. Visual rhythm is applied to map 3D spatial and temporal information to 2D information. Its processing speed is fast because it can get pixel information without IDCT (Inverse Discrete Cosine Transform), and it can classify edit-effects such as cut, wipe, and dissolve. Since XML data save key frame information via XML tag and keyword information, it can furnish object-based retrieval or content-based retrieval.

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Section: B Video Browsing and Searchingmentioning

confidence: 99%

Design and Implementation of Digital Contents Authoring Tools with Metadata

Chun

Shin

Lee

et al. 2009

2009 International Conference on Computer Engineering and Technology

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“…Here, we briefly summarize some implementation issues of these two components which are principally based on our earlier work [14,17].…”

Section: Implementation Of Smc and Qpcmentioning

confidence: 99%

“…The camera breaks are detected according to the motion information available from the MPEG video. In our earlier work [14], we only sampled some predefined pixels of each frame for the detection of camera breaks. Although this approach could greatly reduce the processing time, its accuracy could be seriously affected by how we chose the pixels for comparison.…”

Section: Segmentation and Clustering Componentmentioning

confidence: 99%

VideoMAP: a generic framework for video management and application processing

Lau

Proceedings of the 33rd Annual Hawaii International Conference on System Sciences

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To support video applications efficiently, video objects must be modeled and structured in secondary storage effectively, allowing flexible, easy, and efficient retrieval as well as support for dynamic video application development. In this paper, we describe a video management framework called VideoMAP (which stands for Video Management and Application Processing). The VideoMAP framework provides three components: the Segmentation and Clustering Component (SCC), the Semantic Modeling Component (SMC), and the Query Processing Component (QPC). SCC structures video objects through video partitioning, keyframe selection and segment clustering. SMC organizes video segments/clusters into semantically meaningful hierarchies with annotated feature indices. QPC provides flexible query specification and processing, and supports for external video application development. The framework employs a layered architecture, providing a flexibility and extensibility for each component to incorporate different schemes for different kinds of video objects. A prototype of VideoMAP is currently being constructed using an objectoriented database toolkit on the PC platform.

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VIMS: A Video Information Management System

Cited by 2 publications

References 16 publications

Design and Implementation of Digital Contents Authoring Tools with Metadata

Design and Implementation of Digital Contents Authoring Tools with Metadata

VideoMAP: a generic framework for video management and application processing

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