About: Storyboard is a research topic. Over the lifetime, 646 publications have been published within this topic receiving 8114 citations.
Papers published on a yearly basis
••16 Jun 2012
TL;DR: This work introduced novel egocentric features to train a regressor that predicts important regions and produces significantly more informative summaries than traditional methods that often include irrelevant or redundant information.
Abstract: We present a video summarization approach for egocentric or “wearable” camera data. Given hours of video, the proposed method produces a compact storyboard summary of the camera wearer's day. In contrast to traditional keyframe selection techniques, the resulting summary focuses on the most important objects and people with which the camera wearer interacts. To accomplish this, we develop region cues indicative of high-level saliency in egocentric video — such as the nearness to hands, gaze, and frequency of occurrence — and learn a regressor to predict the relative importance of any new region based on these cues. Using these predictions and a simple form of temporal event detection, our method selects frames for the storyboard that reflect the key object-driven happenings. Critically, the approach is neither camera-wearer-specific nor object-specific; that means the learned importance metric need not be trained for a given user or context, and it can predict the importance of objects and people that have never been seen previously. Our results with 17 hours of egocentric data show the method's promise relative to existing techniques for saliency and summarization.
12 Apr 1996
TL;DR: In this paper, a digital multimedia newsroom production system allows users of the system to create, browse and catalog multimedia assets, and includes a journalist workstation for accessing multimedia assets stored in a multimedia archive to create a multimedia storyboard of a news story.
Abstract: A digital multimedia newsroom production system allows users of the system to create, browse and catalog multimedia assets. The system includes a journalist workstation for accessing multimedia assets stored in a multimedia archive to create a multimedia storyboard of a news story to be broadcast from the system. The storyboard includes frames of video retrieved from one or more sources, and text retrieved from one or more sources or generated by a user of the journalist workstation. In one embodiment of the invention, multimedia data captured by the newsroom production system undergoes a dual digitization process to create a high resolution version of the media data and a low resolution version of the media data. The low resolution version of the media data can be efficiently stored in the system and may be transmitted over a low-bandwidth network to the journalist workstation for use in the creation of a storyboard.
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.
••26 Jun 2006
TL;DR: Two formative studies designed to uncover the important elements of storyboards are presented, including the use of text, inclusion of people, level of detail, number of panels, and representation of the passage of time.
Abstract: Storyboarding is a common technique in HCI and design for demonstrating system interfaces and contexts of use. Despite its recognized benefits, novice designers still encounter challenges in the creation of storyboards. Furthermore, as computing becomes increasingly integrated into the environment, blurring the distinction between the system and its surrounding context, it is imperative to depict context explicitly in storyboards. In this paper, we present two formative studies designed to uncover the important elements of storyboards. These elements include the use of text, inclusion of people, level of detail, number of panels, and representation of the passage of time. We further present an empirical study to assess the effects of these elements on the understanding and enjoyment of storyboard consumers. Finally, we demonstrate how these guidelines were successfully used in an undergraduate HCI class.
••01 Jul 2006
TL;DR: This work presents a method for visualizing short video clips in a single static image, using the visual language of storyboards, and demonstrates an interaction technique to scrub through time using the natural spatial dimensions of the storyboard.
Abstract: We present a method for visualizing short video clips in a single static image, using the visual language of storyboards. These schematic storyboards are composed from multiple input frames and annotated using outlines, arrows, and text describing the motion in the scene. The principal advantage of this storyboard representation over standard representations of video -- generally either a static thumbnail image or a playback of the video clip in its entirety -- is that it requires only a moment to observe and comprehend but at the same time retains much of the detail of the source video. Our system renders a schematic storyboard layout based on a small amount of user interaction. We also demonstrate an interaction technique to scrub through time using the natural spatial dimensions of the storyboard. Potential applications include video editing, surveillance summarization, assembly instructions, composition of graphic novels, and illustration of camera technique for film studies.
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