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Video browsing

About: Video browsing is a research topic. Over the lifetime, 869 publications have been published within this topic receiving 22985 citations.


Papers
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Journal ArticleDOI
TL;DR: This paper proposes techniques and formulations to match and cluster video shots of similar visual contents, taking into account the visual characteristics and temporal dynamics of video, and extends the Scene Transition Graphrepresentation for the analysis of temporal structures extracted from video.

263 citations

Journal ArticleDOI
TL;DR: STIMO is a summarization technique designed to produce on-the-fly video storyboards that produces still and moving storyboards and allows advanced users customization and is based on a fast clustering algorithm that selects the most representative video contents using HSV frame color distribution.
Abstract: In the current Web scenario a video browsing tool that produces on-the-fly storyboards is more and more a need. Video summary techniques can be helpful but, due to their long processing time, they are usually unsuitable for on-the-fly usage. Therefore, it is common to produce storyboards in advance, penalizing users customization. The lack of customization is more and more critical, as users have different demands and might access the Web with several different networking and device technologies. In this paper we propose STIMO, a summarization technique designed to produce on-the-fly video storyboards. STIMO produces still and moving storyboards and allows advanced users customization (e.g., users can select the storyboard length and the maximum time they are willing to wait to get the storyboard). STIMO is based on a fast clustering algorithm that selects the most representative video contents using HSV frame color distribution. Experimental results show that STIMO produces storyboards with good quality and in a time that makes on-the-fly usage possible.

255 citations

Patent
17 Jul 2001
TL;DR: In this article, the authors present systems and methods for automatically parsing digital video content into segments corresponding to fundamental semnatic units, events, and camera views, and streaming parsed video content to users for display and browsing.
Abstract: The present invention discloses systems and methods for automatically parsing digital video content into segments corresponding to fundamental semnatic units, events, and camera views, and streaming parsed digital video content to users for display and browsing. The systems and methods effectively use the domain-specific knowledge such as regular structures of fundamental semnatic units, unique views corresponding to the units, and the predictable state transition rules. The systems and methods also include scene change detection, video text recognition, and view recognition. The results of parsing may be used in a personal video browsing/navigation interface system. Furthermore, a novel adaptive streaming method in which quality levels of video segments are varied dynamically according to the user preference of different segments is disclosed. Important segments are transmitted with full-motion audio-video content at a high bit rate, while the rest is transmitted only as low-bandwidth media (text, still frames, audio).

253 citations

Proceedings ArticleDOI
01 Jan 1998
TL;DR: Two studies that measured the effects of different “video skim” techniques on comprehension, navigation, and user satisfaction found significant benefits were found for skims built from audio sequences meeting certain criteria.
Abstract: This paper reports two studies that measured the effects of different “video skim” techniques on comprehension, navigation, and user satisfaction. Video skims are compact, content-rich abstractions of longer videos, condensations that preserve frame rate while greatly reducing viewing time. Their characteristics depend on the image- and audio-processing techniques used to create them. Results from the initial study helped refine video skims, which were then reassessed in the second experiment. Significant benefits were found for skims built from audio sequences meeting certain criteria.

245 citations

Proceedings ArticleDOI
17 Jun 1996
TL;DR: A new framework of video analysis and associated techniques are proposed to automatically parse long programs, to extract story structures and identify story units, and the result is a compact representation that serves as a summary of the story and allows hierarchical organization of video documents.
Abstract: Content based browsing and navigation in digital video collections have been centered on sequential and linear presentation of images. To facilitate such applications, nonlinear and non sequential access into video documents is essential, especially with long programs. For many programs, this can be achieved by identifying underlying story structures which are reflected both by visual content and temporal organization of composing elements. A new framework of video analysis and associated techniques are proposed to automatically parse long programs, to extract story structures and identify story units. The proposed analysis and representation contribute to the extraction of scenes and story units, each representing a distinct locale or event, that cannot be achieved by shot boundary detection alone. Analysis is performed on MPEG compressed video and without a prior models. The result is a compact representation that serves as a summary of the story and allows hierarchical organization of video documents.

235 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20233
20222
202110
202021
201919
201828