نتایج جستجو برای: key frame

تعداد نتایج: 646603  

2013
H. Knoche H. de Meer D. Kirsh

Extremely economical: How key frames affect consonant perception under different audio-visual skews 1 line space H. Knoche, H. de Meer, D. Kirsh 1 line space a Department of Computer Science, University College London, London WC1E 6BT, UK b Department of Computer Science, University of Passau, 94032 Passau, Germany c Department of Cognitive Science, University California San Diego, La Jolla, CA...

1999
David E. DiFranco Tat-Jen Cham James M. Rehg

We present a method for computing the 3D motion of articulated models from 2D correspondences. An iterative batch algorithm is proposed which estimates the maximum aposteriori trajectory based on the 2D measurements subject to a number of constraints. These include (i) kinematic constraints based on a 3D kinematic model, (ii) joint angle limits, (iii) dynamic smoothing and (iv) 3D key frames wh...

2013
Mahesh Sanghavi Archana M. Rajurkar Rajeev Mathur

It is proven by various researchers in the past literatures that watermarking is the fabulous technique for copyright protection. Especially in video, it takes much time for watermark embedding & so for the extraction due to redundancy of watermark embedding. Solution to this problem is just embed the watermark in any one frame decided randomly but due to frame dropping attack it is difficult t...

2013
Sudhir S. Kanade P. M. Patil

This paper proposes a novel approach of dominant color based extraction of key frames for sports video summarization. The visual features have been used to obtain play field color shots and non-play field color shots. For the every play field color shots dominant colored key frame has been extracted using color histogram analysis and created video summary. This provides users a way to swiftly b...

Journal: :ITC 2011
Fu-Chuang Chen Yi-Pin Hsu

To enhance image quality and retain a limited bit budget, intra-frame in the frame type selection plays a significant role in video coding systems because the frame is treated as a key frame for temporal domain reference. This paper presents an algorithm to predict accurate quantization parameters by developing variance-based distortion measurements. Firstly, the intra-frame rate control in JVT...

2013
Pablo Garrido Levi Valgaerts Chenglei Wu Christian Theobalt

Key Frame Selection The middle pane in Fig. 1 shows the three rectangular regions of fixed size around the eyes and mouth, selected on an example frame after aligning it with the reference frame f t0 (a neutral rest pose). These regions are used to build the LBP descriptors which are used to automatically find key frames depicting a similar expression as the reference frame. The right pane show...

2006
Brien Colwell

This paper will explore a number of visual encodings that can be layered over (x, y, scale, rotation) movement through multiscale. The visual encodings are designed to enhance viewers’ understanding of movement in between key frames. Since none of the visual encodings in this paper conveys all aspects of movement, to give the viewer a complete sense of movement, multiple visual encodings must b...

2004
Xian-Sheng HUA Lie LU Hong-Jiang ZHANG

In this paper, we proposed a novel way to browse a series of photographs, which can be regarded as a system exploring the new medium between photograph and video. The scheme exploits the rich content embedded in a single photograph and photographic series. Based on studying the process of a viewer’s attention variation on objects or regions of an image, a photograph can be converted into a moti...

2008
Yue Feng Reede Ren Joemon Jose

In this paper, we present a novel method for semantic video segmentation by using both low-level features and high-level rules on videos and managing it in a hierarchical structure of key-frame, shot and scene. Features in color domain is calculated and utilized for detecting the key-frames and estimating the similarity between shots. By applying the predefined high-level rules, similar shots a...

2012
Sudhir S. Kanade Pradeep M. Patil

In this paper, a new video summarization approach for lawn tennis video is presented. The proposed method uses frame color histogram to classify video into play field color shots (PFCS) and non play field color shots (NPFCS). Play field color shots are the segments of interest and used to recognize the tournament class. A dominant colored frame from every PFCS is extracted as a salient frame. O...

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