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This paper describes an evaluation of automatic video summarization systems run on rushes from several BBC dramatic series. It was carried out under the auspices of the TREC Video Retrieval Evaluation (TRECVid) as a followup to the 2007 video ...

Video summarization is essential for the user to understand the main theme of video sequences in a short period, especially when the volume of the video is huge and the content is highly redundant. In this paper, we present a video summarization system, ...

In this paper, our techniques used in TRECVID'08 on BBC rush summarization are described. Firstly, rush videos are hierarchical modeled using formal language description. Then, shot detection and V-unit determination are applied for video structuring; ...

This paper describes the video summarization system built for the TRECVID 2008 evaluation by the Brno team. Motivations for the system design and its overall structure are described followed by more detailed description of the critical parts of the ...

This paper discusses in detail our approaches for producing the video summaries submitted to the TRECVID 2008 BBC rushes summarization task, including the baseline method. Empirical work produced during and after the TRECVID 2007 rushes summarization ...

In this paper, the method used for Rushes Summarization task by the COST 292 consortium is reported. The approach proposed this year differs significantly from the one proposed in the previous years because of the introduction of new processing steps, ...

We describe the video summarisation systems submitted by Dublin City University to the TRECVid 2008 BBC Rushes Summarisation task. We introduce a new approach to redundant video summarisation based on principal component analysis and linear discriminant ...

This paper presents our approach to select relevant sequences from raw videos in order to generate summaries to Trecvid 2008 BBC Rush Task. Our system is composed of two major steps: First, the system detects "semantic" shot boundaries and keeps only ...

In this paper, we describe our approach to the TRECVID 2008 BBC Rushes Summarization task. First, we remove junk frames and dynamically accelerate videos according to their motion activity to maximize the content per time unit. Then, we search identical ...

In this paper we describe methods for video summarization in the context of the TRECVID 2008 BBC Rushes Summarization task. Color, motion, and audio features are used to segment, filter, and cluster the video. We experiment with varying the segment ...

The rushes is a collection of raw material videos. There are various redundancies, such as rainbow screen, clipboard shot, white/black view, and unnecessary re-take. This paper develops a set of solutions to remove these video redundancies as well as an ...

This paper describes the work performed by the GMRV-URJC team as part of the TRECVid 2008 Rushes Summarization benchmark. The main goal of our approach is to obtain good results by only using low-level techniques. Using only this kind of features also ...

In this paper we describe a system for video rushes summarization. The basic problems of rushes videos are three. First, the presence of useless frames such as colorbars, monochrome frames and frames containing clapboards. Second, the repetition of ...

In this paper, we present the first participation of a consortium of French laboratories, IRIM, to the TRECVID 2008 BBC Rushes Summarization task. Our approach resorts to video skimming. We propose two methods to reduce redundancy, as rushes include ...

We compare two methods for selecting segments to be included in a video skim, using lists of relevant as well as redundant segments created from different visual features as input. One approach is rule-based, and creates a weighted sum of the input ...

This paper describes the video summarization system developed by the partners of the K-Space European Network of Excellence for the TRECVID 2008 BBC rushes summarization evaluation. We propose an original method based on individual content segmentation ...

This paper describes the details of NHK's approach to the rushes summarization task in TRECVID 2008. From a broadcaster's point of view, removing redundancy and attaining a pleasant tempo/rhythm, as well as the recall ratio, are important. Here, we ...

Generating short summary videos for rushes is a challenging task due to the difficulty in eliminating redundancy and determining the important objects and events to be placed in the summary. Redundancy elimination is difficult since repetitive segments, ...

In this paper, we describe our system used to summarize BBC rushes, the TRECVID database. Our summarization process starts with shot boundary detection. Then we filter obtained shots to retain only useful ones. After that we try to localize from every ...

As the amount of recorded video data continually increases, a lot of teams around the world work to propose original methods on automatic video summarization. A particular kind of video is a rush: a rough draft of a movie or a documentary. In this paper,...

This paper describes our system and methodologies for the BBC rushes video summarization task of TRECVID 2008. The procedure of the system is composed of three major steps: shot detection, irrelevant and repetitive subshot removal, and final summary ...

This paper presents an efficient video summarization technique with the focus of generating video summaries that are pleasant to watch. The validity of the technique was tested in the TRECVID 2008 evaluation event. The results show the effectiveness of ...

Video summary is an active research field to help users to grasp a whole video's content for efficient browsing and editing. In this paper, we describe our THU-Intel rushes summarization system in TRECVID2008. In our approach, we first extract low-level ...

This paper describes our video summarization system using a model selection technique to estimate the optimal number of scenes for a summary. It uses a minimum description length as a model selection criterion and carries out two-stage estimation. First,...

This paper describes our method for the TRECVID 2008 BBC rushes summarization task, a fully on-line video abstraction algorithm with customizable memory and computation requirements which enables the application of different abstraction criteria. The ...

In this paper, we present a method for the Rushes Summarization task which is one of tasks of TRECVID 2008. In the proposed method, first an input video is decomposed into shots by comparing consecutive frames. Then, these shots are grouped by the k-...

In this paper we present a video summarization method based on the study of spatio-temporal activity within the video. The visual activity is estimated by measuring the number of interest points, jointly obtained in the spatial and temporal domains. The ...