Video browsing by direct manipulation

Dragicevic, Pierre; Ramos, Gonzalo; Bibliowitcz, Jacobo; Nowrouzezahrai, Derek; Balakrishnan, Ravin; Singh, Karan

doi:10.1145/1357054.1357096

Cited by 133 publications

(96 citation statements)

References 35 publications

(38 reference statements)

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“…The authors do not specify how to track the object, the main contribution is on the user interface design. Many works (KIMBER et al, July) (GOLDMAN et al, 2008) (DRAGICEVIC et al, 2008) (KARRER et al, 2008) were developed to put this design into practice, automatically tracking the objects. Kimber et al (KIMBER et al, July) introduced a system called Trailblazing, that allows this exploration by direct object manipulation in fixed-camera videos -specially for surveillance.…”

Section: Non-linear Video Navigationmentioning

confidence: 99%

See 1 more Smart Citation

Panoramic e-learning videos for non-linear navigation

Schneider

Oliveira

2014

SIGGRAPH Asia 2014 Technical Briefs

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Section: Non-linear Video Navigationmentioning

confidence: 99%

“…The user may navigate by direct manipulation either on the video or on this floor plan. Dragicevic et al (DRAGICEVIC et al, 2008) developed a method based on optical flow -tracking pixels instead of whole objects. The authors argue that optical flow is more reliable than object tracking.…”

Section: Non-linear Video Navigationmentioning

confidence: 99%

Panoramic e-learning videos for non-linear navigation

Schneider

Oliveira

2014

SIGGRAPH Asia 2014 Technical Briefs

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“…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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“…Because painting in space and navigating in time are disconnected, the interaction workflow requires a frequent mental shift between the two dimensions and does not aid the user in working with a single imagined spatio-temporal entity. Motion trajectories have been successfully applied to video interactions for supporting direct-manipulation of video objects in navigation and for automating temporal aspects of annotation to provide simple interactions for creating them [6,8,13,15]. We extend this idea and explore trajectory-based interactions for temporal propagation of visual elements or actions.…”

Section: Introductionmentioning

confidence: 99%

Direct space-time trajectory control for visual media editing

Santosa

Chevalier

Balakrishnan

et al. 2013

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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We explore the design space for using object motion trajectories to create and edit visual elements in various media across space and time. We introduce a suite of pen-based techniques that facilitate fluid stylization, annotation and editing of space-time content such as video, slide presentations and 2D animation, utilizing pressure and multi-touch input. We implemented and evaluated these techniques in DirectPaint, a system for creating free-hand painting and annotation over video.

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Video browsing by direct manipulation

Cited by 133 publications

References 35 publications

Panoramic e-learning videos for non-linear navigation

Panoramic e-learning videos for non-linear navigation

Video Navigation with a Personal Viewing History

Direct space-time trajectory control for visual media editing

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