To manage large database system with video, effective video indexing and retrieval are required. A large number of video retrieval algorithms have been presented for frame-wise user query or video content query, whereas a few video identification algorithms have been proposed for video sequence query. In this paper, we propose an effective video identification algorithm for video sequence query...

This paper introduces a novel method for recovering the skeleton proportions for a human figure from monocular data. A perspective camera model is defined semi-automatically based on the user’s judgment. In the proposed method, key frames are first extracted from the source data automatically. A human skeleton model is then constructed to match all key frames under the established camera. An ad...

In this paper we present an automatic key frame selection method to summarise 3D video sequences. Key-frame selection is based on optimisation for the set of frames which give the best representation of the sequence according to a rate-distortion trade-off. Distortion of the summarization from the original sequence is based on measurement of self-similarity using volume histograms. The method e...

Segmentation of video into shots and scenes in the compressed domain allows rapid, real-time analysis of video content using standard hardware. This paper presents robust techniques for parsing MPEG-compressed video sequences into shots based on their physical structure and further into scenes based on their semantic structure by identifying changes in content and camera motion. The analysis is...

In our rushes exploitation task of TRECVID 2006, we propose a novel and interactive rushes video selection and editing method based on hierarchical browsing of key frames, where high level features of each key frame such as face, interview, person, crowd, building, outdoor, waterbody, and other information about redundancy and repetition are displayed at same time for helping editors to select ...

Video scene change detection has great importance of managing and analyzing large amount of videos. Traditionally this technique used for indexing, segmenting and categorizing different types of videos. Very few works addressed to classify obscene using scene change detection method. In this research we proposed a simple approach for sensing objectionable videos by observing scene changes into ...

Our project attempts to create high quality animation that can be easily used by anyone. We use an artists doll to generate the keyframe poses combined with a motion capture database to generate the in-between frames for smoother, life-like motion. The doll has joints painted in different colors and a stereo camera rig is used to determine its joint positions, which in turn is used to calculate...

We propose a key-frame-based depth propagation method considering movement on the z-axis. First, a homography matrix is obtained through the feature points between points. Through this homography matrix information, a movement of objects or cameras is inferred in the direction of the z axis, thereby creating a depth map that compensates the movement. Then, bilateral filtering is executed to cre...

Due to the unique characteristics of video, traditional surrogates and control/browsing mechanisms that facilitate text-based information retrieval may not work sufficiently for video. In this paper, a video browsing interface prototype with key frames and fast play-back mechanisms was built and tested. Subjects performed two kinds of browsing-related tasks: object identification and video comp...

As the amount of available digital video content is increasing exponentially, novel ways of storing, accessing and retrieving it are being developped, such as indexing, segmentation or abstraction techniques. Video abstraction can be useful in many ways – from automatic home movie editing to easier (and faster) exploration of a video collection. Video summaries can be a set of carefully selecte...