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We introduce a novel method to detect video shot boundary. The method includes two stages: video frame feature supervised extraction and video frame supervised classification. Firstly, we use a supervised locality preserving projections to extract video ...

As books have chapters, sections, paragraphs, sentences, etc., videos have an inherent hierarchical structure as well. Chapters, scenes, shots and sub-shots are the temporal units in videos. Because manual structure extraction is time-consuming, ...

Based on rough sets (RS), an effective shot segmentation method is proposed in discrete cosine transform (DCT) compressed domain. First, DCT coefficients and DC coefficients are extracted from video sequences, and an Information System is constructed ...

Temporal video segmentation is of fundamental importance in order to facilitate user’s access to huge volume of video data as well as for video summarization.The objective of shot boundary detection is to partition the video into meaningful, basic ...

In this paper a new video watermarking scheme is proposed which depends on 2-level Discrete Wavelet Transform decomposition of each component of an RGB video frame. The scheme embeds independent watermarks into different shots. A genetic algorithm is ...

In this paper, a novel statistical framework is proposed for shot segmentation and classification. The proposed framework segments and classifies shots simultaneously using same difference features based on statistical inference. The task of shot ...

In this paper, a novel statistical framework is proposed for shot segmentation and classification. The proposed framework segments and classifies shots simultaneously using same difference features based on statistical inference. The task of shot ...

This paper presents a method to perform a high-level segmentation of videos into scenes. A scene can be defined as a subdivision of a play in which either the setting is fixed, or when it presents continuous action in one place. We exploit this fact and ...

In this paper, we propose a novel approach for automatic music video summarization based on audio-visual-text analysis and alignment. The music video is separated into the music and video tracks. For the music track, the chorus is detected based on ...

In this demonstration, we present a unified framework for semantic shot classification in sports videos. Unlike previous approaches, which focus on clustering by aggregating shots with similar low-level features, the proposed scheme makes use of domain ...