Trailblazing: Video Playback Control by Direct Object Manipulation

Kimber, Don; Dunnigan, Tony; Girgensohn, Andreas; Shipman, Frank M.; Turner, Thea; Yang, Tao

doi:10.1109/icme.2007.4284825

Cited by 42 publications

(42 citation statements)

References 7 publications

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“…We explore solutions to all these challenges. We also outline the differences of our approach from a recent paper [18] exploring similar ideas that were brought to our attention during the review process.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to providing all the standard controls of a traditional movie player ( Figure 1), DimP allows users to go back and forth through the video's timeline by directly manipulating the video content, in a way similar to Kimber et al's system [18]. …”

Section: The Direct Manipulation Video Playermentioning

confidence: 99%

“…This issue is intrinsic to the optical flow paradigm and can be partly addressed by the integration of tracking techniques [40,18].…”

Section: Current Limitationsmentioning

confidence: 99%

“…Tracking algorithms are efficient at following objects over long periods of time [17]. Using a tracking approach, Kimber et al [18] extract moving objects and try to maintain their identity in the presence of discontinuities due to merging, splitting or occlusion. However, such techniques are very sophisticated and never 100% reliable.…”

Section: Computer Vision Approachesmentioning

confidence: 99%

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Video browsing by direct manipulation

Dragicevic

Ramos

Bibliowitcz

et al. 2008

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

133

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We present a method for browsing videos by directly dragging their content. This method brings the benefits of direct manipulation to an activity typically mediated by widgets. We support this new type of interactivity by: 1) automatically extracting motion data from videos; and 2) a new technique called relative flow dragging that lets users control video playback by moving objects of interest along their visual trajectory. We show that this method can outperform the traditional seeker bar in video browsing tasks that focus on visual content rather than time.

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Section: Introductionmentioning

confidence: 99%

Section: The Direct Manipulation Video Playermentioning

confidence: 99%

“…This issue is intrinsic to the optical flow paradigm and can be partly addressed by the integration of tracking techniques [40,18].…”

Section: Current Limitationsmentioning

confidence: 99%

Section: Computer Vision Approachesmentioning

confidence: 99%

See 2 more Smart Citations

Video browsing by direct manipulation

Dragicevic

Ramos

Bibliowitcz

et al. 2008

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

133

View full text Add to dashboard Cite

show abstract

“…Thus, some researchers have focused in introducing new techniques to manipulate the video timeline rather than using the traditional VCR controls. They allow users to navigate the video by directly manipulating the video content along its natural movement path rather than using the timeline slider [17,16,7,11]. Pongnumkul et al [22] developed a new navigation tool that uses a map-based storyboard where different locations of video segments are directly visualized on the map.…”

Section: Motivationmentioning

confidence: 99%

Video Navigation with a Personal Viewing History

Al-Hajri¹,

Miller²,

Fels³

et al. 2013

Human-Computer Interaction – INTERACT 2013

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Abstract. We describe a new video interface based on a recorded personal navigation history which provides simple mechanisms to quickly find and watch previously viewed intervals, highlight segments of video the user found interesting and support other video tasks such as crowd-sourced video popularity measures and consumer-level video editing. Our novel history interface lets users find previously viewed intervals more quickly and provides a more enjoyable video navigation experience, as demonstrated by the study we performed. The user study tasked participants with viewing a pre-defined history of a subset of the video and answering questions about the video content: 83.9% of questions (average) were answered correctly using the personal navigation history, while 65.5% were answered using the state-of-art method; they took significantly less time to answer a question using our method. The full video navigation interface received an 82% average QUIS rating. The results show that our history interface can be an effective part of video players and browsers. Keywords: Video Navigation; Navigation History; Video Summarization; IntroductionThe dramatic increase in the quantity of video now available, either in the online form of services such as YouTube TM , Vimeo TM or the more personal form of home video, provides new challenges such as finding specific videos (or intervals within video), authoring new videos from existing content (e.g. video summarization or home movie editing), sharing video playlists (or even intervals) of online video and annotating dynamic content. The increased volume and shrinking average duration of online video has led to new use cases: users are generally free to skip ahead to find intervals which interest them; users may re-watch part of the video they enjoyed; users may employ temporal video links to provide instant access to a specific time within a video, skipping irrelevant sections; playlists and temporal links provide opportunities for customization and sharing of video consumption among users. In short, users can and want to view personally interesting intervals easily and without viewing the entire video. These use cases are supported within current interfaces, however there are no existing mechanisms to support new use cases which arise as a natural consequence, such as navigation of previously viewed intervals. Additionally, users often re-watch segments of video as part of the contemporary browsing and navigation experience [24,25,28], and may wish to share these intervals with others. A historical record of video viewing would allow users to quickly find popular intervals, comment on and share them. We introduce our novel video interface, which captures the user's viewing history (analogous to a web browser history) and allows them to reuse it as a navigation tool, through a user-time visualization with supporting interactions. The history supports actions such as faster access to previously viewed intervals, visualization of popular intervals within the video based on a use...

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