找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Video Search and Mining; Dan Schonfeld,Caifeng Shan,Liang Wang Book 2010 Springer-Verlag Berlin Heidelberg 2010 Video Retrieval.calculus.c

[復(fù)制鏈接]
樓主: 忠誠
11#
發(fā)表于 2025-3-23 10:48:33 | 只看該作者
A Holistic, In-Compression Approach to Mining Independent Motion Segments for Massive Surveillance Vypical scenario where the video data collections are massive in size, We propose a holistic, in-compression approach, called Linear System Consistency Analysis (LSCA), to efficient video data mining for those independent motion segments. By efficient, we mean that the mining speed is close to or eve
12#
發(fā)表于 2025-3-23 17:46:26 | 只看該作者
Video Repeat Recognition and Mining by Visual Features and retrieval. In this chapter we present methods to identify known and unknown video repeats respectively. For known video repeat recognition, we focus on robust feature extraction and classifier learning problems. A clustering model of visual features (e.g. color, texture) is proposed to represen
13#
發(fā)表于 2025-3-23 19:09:59 | 只看該作者
14#
發(fā)表于 2025-3-23 22:56:58 | 只看該作者
YouTube Scale, Large Vocabulary Video Annotationdea of annotating static imagery with keywords is relatively well known, the idea of annotating videos with natural language keywords to enhance search is an important emerging problem with great potential to improve the quality of video search. However, leveraging web-scale video datasets for autom
15#
發(fā)表于 2025-3-24 02:28:41 | 只看該作者
16#
發(fā)表于 2025-3-24 08:12:29 | 只看該作者
17#
發(fā)表于 2025-3-24 13:46:35 | 只看該作者
A Holistic, In-Compression Approach to Mining Independent Motion Segments for Massive Surveillance Vn faster than real-time in “normal” platforms (we do not assume using special hardware or any parallel machines) while still maintaining a good mining quality. Theoretical and experimental analyses demonstrate and validate this holistic, in-compression approach to solving for video mining problem for temporal independent motion segmentation.
18#
發(fā)表于 2025-3-24 16:43:12 | 只看該作者
19#
發(fā)表于 2025-3-24 22:11:18 | 只看該作者
Statistical Analysis on Manifolds and Its Applications to Video Analysisations in video analysis that involve manifolds. We develop the required mathematical tools needed to perform statistical inference on manifolds and show their effectiveness in real video-understanding applications.
20#
發(fā)表于 2025-3-25 03:08:30 | 只看該作者
Face Recognition and Retrieval in Video recognition has also been considered in the content-based video retrieval setup, for example, character-based video search. In this chapter, we review existing research on face recognition and retrieval in video. The relevant techniques are comprehensively surveyed and discussed.
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-8 22:40
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
汝城县| 安多县| 保靖县| 陕西省| 铜梁县| 丰顺县| 勃利县| 伊宁市| 贵定县| 化州市| 伊吾县| 涡阳县| 息烽县| 涟水县| 平昌县| 天津市| 叙永县| 崇礼县| 南汇区| 九龙坡区| 吕梁市| 泾阳县| 天津市| 哈尔滨市| 江永县| 延安市| 长宁区| 普兰店市| 西林县| 北流市| 汤阴县| 长寿区| 静宁县| 体育| 台东市| 通化市| 贡山| 淳安县| 濉溪县| 那坡县| 泉州市|