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Description: 鼠标图像画图处理程序
Video Retrieval System
视频分类与检索，世界trieckvid大赛使用参考-Mouse Paint image processing Video Retrieval System video classification and retrieval, the World Series with reference trieckvid
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Size: 590848 |
Author: huweicn |
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Description: opencv人物形状检测
Video Retrieval System
视频分类与检索，世界trieckvid大赛使用参考-opencv shape detection Video Retrieval System characters video classification and retrieval, with reference to the World trieckvid Competition
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Size: 1507328 |
Author: huweicn |
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Description: opengcv下mfc的系统构架画面检测
Video Retrieval System
视频分类与检索，世界trieckvid大赛使用参考-opengcv mfc system architecture under the screen test Video Retrieval System video classification and retrieval, with reference to the World trieckvid Competition
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Size: 96256 |
Author: huweicn |
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Description: opencv的sift算法
Video Retrieval System
视频分类与检索，世界trieckvid大赛使用参考-opencv The sift algorithm for Video Retrieval System video classification and retrieval, with reference to the World trieckvid Competition
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Size: 2459648 |
Author: huweicn |
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Description: 情景检测，使用vs2008环境，代码简洁，可实现
Video Retrieval System
视频分类与检索，世界trieckvid大赛使用参考-Scenario testing, using the vs2008 environment, the code simple, achievable Video Retrieval System video classification and retrieval, with reference to the World trieckvid Competition
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Size: 3260416 |
Author: huweicn |
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Description: 图像像素匹配，使用C++环境，代码简洁，可实现
Video Retrieval System
视频分类与检索，世界trieckvid大赛使用参考-Scenario testing, the use of C++ environment, the code is simple and can achieve Video Retrieval System video classification and retrieval, with reference to the World trieckvid Competition
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Size: 2296832 |
Author: huweicn |
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Description: 图像模式匹配检测，使用C++，代码简洁，可实现
Video Retrieval System
视频分类与检索，世界trieckvid大赛使用参考-Image pattern matching detection, the use vs2008 environment, the code is simple and can achieve Video Retrieval System video classification and retrieval, using the reference world trieckvid Competition
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Size: 2269184 |
Author: huweicn |
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Description: 我个人基于网上的资料写的一个视频检索的程序，效果还可以-I write based on online information retrieval, a video program, the effect can
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Size: 3412992 |
Author: 刘明 |
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Description: 基于稀疏表达的视频文字检测方法 ：针对传统视频文字检测方法存在效率较低、计算复杂、精确度不高的不足，提出一种视频文字检测方法，通过基于边缘密度和连
通域分析的文字粗检测得到候选文本行，利用稀疏表达分类产生的过完备词典进行文字行验证。实验结果表明，该方法具有较好的检测性
能，可以应用于视频检索系统。-Expression based on sparse video text detection method: video text detection method for the existence of traditional low efficiency, computational complexity, accuracy is not high enough, make a video text detection method based on edge density and connectivity through domain analysis of the text coarse detection get the candidate text lines, expression classification using sparse over-complete dictionary to produce a line of text verification. Experimental results show that the method has good detection performance can be applied to the video retrieval system.
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Size: 611328 |
Author: lemon.liu |
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Description: 《基于内容的视频检索关键技术研究述评》讨论了视频检索中的关键技术。虽然只是综述，但却体现了对各项技术最准确地理解，很有利用价值-" Content-based video retrieval key technologies A Review," discusses the key technologies in video retrieval. Although only review, but it reflects the most accurate understanding of the technology, great use value
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Size: 128000 |
Author: 江锦 |
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Description: 视频检索 sift描述子提取程序 -video retrieval sift
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Size: 198656 |
Author: ken |
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Description: 基于交互式遗传算法的视频场景检索,本文提出一种基于情感的视频场景检索算法。-Interactive genetic algorithm-based video scene retrieval
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Size: 838656 |
Author: yuanhui |
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Description: 视频检索综述，对视频检索目前的发展，以前视频检索技术的总结-Video Retrieval System, the development of video retrieval, a summary of the previous video retrieval technology
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Size: 89088 |
Author: 曹英馨 |
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Description: 时空切片在视频检索中应用，将视频检索应用到视频检索中的镜头切割-The space-time slice in video retrieval, video retrieval is applied to the lens in video retrieval cutting
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Size: 1120256 |
Author: 曹英馨 |
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Description: 一篇关于视频检索与索引的综述文章，详细的介绍了视频检索的发展历程，主要技术，和未来的研究方向-A review article on video retrieval and indexing, detailed introduced the development process of video retrieval, main technical, and directions for future research
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Size: 367616 |
Author: 曹英馨 |
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Description: 视频检索中差分提取背景，关键提取及预处理，已有良好的差分效果-Differential extraction of background video retrieval, critical extraction and pre-processing, has a good differential effect
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Size: 3891200 |
Author: Justin |
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Description: In this research two automatic video annotation techniques are considered. The first technique uses ontology to reduce the semantic gap during video retrieval and other performs a group based image retrieval using video files. The proposed algorithm uses GIR algorithm to create similar image group. From this refined set of images, SIFT features are extracted and the steps used by ASVA algorithm is performed to annotate the video in a semantic fashion. The Automatic Semantic based Video Annotation algorithm performs annotation in three steps. The first step calculates the video similarity using SIFT features, sentence and synonym analysis is performed in the second to find similar meaning annotations and finally the conjunction of the sentences are analyzed to increase the certainty of each annotation using Concept Net.
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Size: 697344 |
Author: Ambika |
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Description: 视频检索，按帧检索程序，用opencv 写的-Video retrieval frames retrieval program written using opencv
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Size: 1024 |
Author: 帧帧 |
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Description: Video retrieval from camera in matlab and filtering using Median filtering-Video retrieval from camera in matlab and filtering using Median filtering
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Size: 161792 |
Author: bhanu |
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Description: Shot boundary detection is always an important topic in
digital video processing. It is the first important task of
content-based video retrieval and indexing. In this paper, a
new shot boundary detection algorithm is proposed, based on
Particle Swarm Optimization Classifier. This method firstly
takes the difference curves of U-component histograms as the
characteristics of the differences between video frames, and
then utilizes a Slide-Window Mean Filter to filter difference
curves and a KNN Classifier applying PSO to detect and
classify the shot transitions. This method has three advantages
that it is more sensitive to gradual transitions each curve
graphic with remarkable characteristics corresponds to a shot
transition Cuts and Gradual transitions could be detected in a
same step. As experiments shown, the performance of this
method is superior to the traditional shot boundary detection
methods, and this method can achieve high recall and
precision rate.-Shot boundary detection is always an important topic in
digital video processing. It is the first important task of
content-based video retrieval and indexing. In this paper, a
new shot boundary detection algorithm is proposed, based on
Particle Swarm Optimization Classifier. This method firstly
takes the difference curves of U-component histograms as the
characteristics of the differences between video frames, and
then utilizes a Slide-Window Mean Filter to filter difference
curves and a KNN Classifier applying PSO to detect and
classify the shot transitions. This method has three advantages
that it is more sensitive to gradual transitions each curve
graphic with remarkable characteristics corresponds to a shot
transition Cuts and Gradual transitions could be detected in a
same step. As experiments shown, the performance of this
method is superior to the traditional shot boundary detection
methods, and this method can achieve high recall and
precision rate.
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Size: 395264 |
Author: saeed |
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