VIDSEEK: Dynamic Multi-dimensional Browsing of Video Archives (original) (raw)
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Concept-based browsing in video libraries
Proceedings IEEE Forum on Research and Technology Advances in Digital Libraries, 1999
Digital Library applications based on huge amounts of digital video data require efficient browsing and searching mechanisms for the extraction of relevant information. To avoid information overload, a browsing system needs to preselect shots of interest from the database in a useradequate manner. In this paper, a retrieval engine for video browsing is proposed that offers conceptual, content-based access to videos. It calculates relevance values for the results of a conceptual query by feature aggregation on video shot granularity. This engine is embedded in a browsing system architecture which we extended with an intelligent client buffer strategy and admission control mechanism aiming for browsing specific requirements. Thus, we support continuous presentation of time-dependent media and reduce startup latency 1 .
Hierarchical video browsing and feature-based video retrieval are two standard methods for accessing video content. Very little research, however, has addressed the benefits of integrating these two methods for more effective and efficient video content access. In this paper we introduce InsightVideo, a video analysis and retrieval system, which joins video content hierarchy, hierarchical browsing and retrieval for efficient video access. We propose several video processing techniques to organize the content hierarchy of the video. We first apply a camera motion classification and key-frame extraction strategy that operates in the compressed domain to extract video features. Then, shot grouping, scene detection and pairwise scene clustering strategies are applied to construct the video content hierarchy. We introduce a video similarity evaluation scheme at different levels (key-frame, shot, group, scene, and video.) By integrating the video content hierarchy and the video similarity...
Multimedia Tools and …, 2011
1 Professional video searchers typically have to search for particular video fragments in a vast video archive that contains many hours of video data. Without having the right video archive exploration tools, this is a difficult and time consuming task that induces hours of video skimming. We propose the video archive explorer, a video exploration tool that provides visual representations of automatically detected concepts to facilitate individual and collaborative video search tasks. This video archive explorer is developed by employing a user-centred methodology, which ensures that the tool is more likely to fit to the end user needs. A qualitative evaluation with professional video searchers shows that the combination of automatic video indexing, interactive visualisations and user-centred design can result in an increased usability, user satisfaction and productivity.
VERGE: An Interactive Search Engine for Browsing Video Collections
Lecture Notes in Computer Science, 2014
This paper presents VERGE interactive video retrieval engine, which is capable of searching and browsing video content. The system integrates several content-based analysis and retrieval modules such as video shot segmentation and scene detection, concept detection, clustering and visual similarity search into a user friendly interface that supports the user in browsing through the collection, in order to retrieve the desired clip.
A New Hybrid Approach to Video Organization for Content-Based Indexing
Proceedings of the Ieee International Conference on Multimedia Computing and Systems, 1998
Video organization is a key step in the content-based indexing of video archives. The objective of video organization is to capture the semantic structure of a video in a form which is meaningful to the user. We present a hybrid approach to video organization which automatically processes video, creating a video table of contents (VTOC), while providing easy-to-use interfaces for verification, correction and augmentation of the automatically extracted video structure. Algorithms are developed to solve the subproblems of shot detection, shot grouping and VTOC generation without making very restrictive assumptions about the structure or content of the video. We use a nonstationary time series model of difference metrics for shot boundary detection, color and edge similarities for shot grouping and observations about the structure of a wide class of videos for the generation of the VTOC. The use of automatic processing in conjunction with input from the user allows us to produce meaningful video organization efficiently.
Accessing video archives using interactive search
2004
In this presentation we present a system for interactive search in video archives. In our view interactive search is a fourstep process composed of indexing, filtering, browsing, and ranking. We have experimentally verified, using 22 groups of two participants each, how users apply these steps in the interactive search and how well they perform.
Video browsing interfaces and applications: a review
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-player-like 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
The VISION Digital Video Library Project
1998
The goal of the VISION (Video Indexing for SearchIng Over Networks) project is to demonstrate the technology necessary for a comprehensive, on-line digital video library. We have developed real-time algorithms to create a searchable and browsable video archive. Our approach is based on the integrated application of mature image or video processing, information retrieval, and text classification technologies for efficient creation and exploration of the library materials. In order to provide access to video footage within seconds of broadcast, we have developed a new pipelined digital video processing architecture which is capable of digitizing, processing, indexing, and compressing video in real time on an inexpensive general purpose computer. These videos are automatically partitioned into short scenes using video, audio and closed-caption information. The resulting scenes are indexed based on their captions and stored in a multimedia database. A clientserver-based graphical user interface was developed to enable users to remotely search this archive and view selected video segments over networks of different bandwidths. Additionally, VISION classifies the incoming videos with respect to a taxonomy of categories and will selectively send users videos which match their individual profiles. The archive can also be explored by browsing through the taxonomy.