Video visualization for compact presentation and fast browsing of pictorial content

Abstract

Digital video archives are likely to be accessible on distributed networks which means that the data are subject to network congestion and bandwidth constraints. To enable new applications and services of digital video, it is not only important to develop tools to analyze and browse video, view query results, and formulate better searches, but also to deliver the essence of the material in compact forms.Video visualization describes the joint process of analyzing video and the subsequent derivation of representative visual presentation of the essence of the content. In this paper, we propose techniques to analyze video and build a compact pictorial summary for visual presentation. A video sequence is thus condensed into a few images-each summarizing the dramatic incident taking place in a meaningful segment of the video. In particular, we present techniques to differentiate the dominance of the content in subdivisions of the segment based on analysis results, select a graphic layout pattern according to the relative dominances, and create a set of video posters, each of which is a compact, visually pleasant, and intuitive representation of the story content. The collection of video posters arranged in temporal order then forms a pictorial summary of the sequence to tell the underlying story. The techniques and compact presentations proposed offer valuable tools for new applications and services of digital video including video browsing, query, search, and retrieval in the digital libraries and over the Internet.Index Terms-Browsing, compact representation of video, digital library applications, Internet, pictorial summary, video analysis, video database, video visualization.

Scalable gastroscopic video summarization via similar-inhibition dictionary selection

“…In fact, the above process is a typical video summarization procedure, i.e., selecting some frames with the most important and meaningful semantic content from a full-length video sequence [2][3][4][5]. Therefore, in this paper, we intend to design a computeraided gastroscopic video summarization algorithm to overcome these problems and assist clinicians to more effectively go through the abnormal contents of the video.…”

Video Navigation with a Personal Viewing History

“…DVD systems provided users with a higher level of video access using a random access to video segments based on scene indices and chapter boundaries via a table of contents index. Some researchers [26,23,5,8] allowed video navigation using their abstraction thumbnails or keyframes (e.g. filmstrip), where clicking on a thumbnail directly positions the video at a particular point in time corresponding to that thumbnail.…”

Interactive visualization of video content and associated description for semantic annotation

“…In [27], an algorithm for the automatic extraction of the LSU from a sequence of labelled shots, once the shots have been clustered according to their similarity, is presented.…”

“…In order to evaluate the goodness of a clustering we extract from it the LSU structure using the method proposed in [27], and then compare this with the ground-truth LSUs. To perform this comparison we have used a standard method proposed in [26].…”