Abstract. We present a comprehensive review of the state of the art in video browsing and retrieval systems, with special emphasis on interfaces and applications. There has been a significant increase in activity (e.g., storage, retrieval, and sharing) employing video data in the past decade, both for personal and professional use. The ever-growing amount of video content available for human consumption and the inherent characteristics of video data-which, if presented in its raw format, is rather unwieldy and costly-have become driving forces for the development of more effective solutions to present video contents and allow rich user interaction. As a result, there are many contemporary research efforts toward developing better video browsing solutions, which we summarize. We review more than 40 different video browsing and retrieval interfaces and classify them into three groups: applications that use video-playerlike interaction, video retrieval applications, and browsing solutions based on video surrogates. For each category, we present a summary of existing work, highlight the technical aspects of each solution, and compare them against each other. C 2010 Society of Photo-Optical Instrumentation Engineers.
A new approach for interactive video browsing is described. The novelty of the proposed approach is the flexible concept of interactive navigation summaries. Similar to time sliders, commonly used with standard soft video players, navigation summaries allow random access to a video. In addition, they also provide abstract visualizations of the content at a user-defined level of detail and, thus, quickly communicate content characteristics to the user. Navigation summaries can provide visual information about both low-level features but even high-level features. The concept fully integrates the user, who knows best which navigation summary at which level of detail could be most beneficial for his/her current video browsing task, and provide him/her a flexible set of navigation means. A first user study has shown that our approach can significantly outperform standard soft video players -the state-of-the art "poor man's" video browsing tool.
We present a new approach for video browsing using visualization of motion direction and motion intensity statistics by color and brightness variations. Statistics are collected from motion vectors of H.264/AVC encoded video streams, so full video decoding is not required. By interpreting visualized motion patterns of video segments, users are able to quickly identify scenes similar to a prototype scene or identify potential scenes of interest. We give some examples of motion patterns with different semantic value, including camera zooms, hill jumps of ski-jumpers, and the repeated appearance of a news speaker. In a user study we show that certain scenes of interest can be found significantly faster using our video browsing tool than using a video player with VCR-like controls.
As mobile devices become more and more pervasive, they are increasingly used to record and watch personal and professional videos. Common video browsers on smart phones and tablets, however, fail to provide users an efficient and engaging experience to browse through video content.In this demo paper, we present an early prototype for browsing videos on tablets: browsing video with a 3D filmstrip. A video is split up into equidistant, uniformly sampled time segments. The segments are represented by key-frames shown on the surface of a filmstrip, allowing an immediate overview of great parts of the video. Further, a user can scroll through the filmstrip, start playback for any segment and refine the preview of segments by simple touch gestures.
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