標(biāo)題: Titlebook: Video Mining; Azriel Rosenfeld,David Doermann,Daniel DeMenthon Book 2003 Springer Science+Business Media New York 2003 Audio.Frames.inform [打印本頁(yè)] 作者: 尤指植物 時(shí)間: 2025-3-21 16:20
書(shū)目名稱Video Mining影響因子(影響力)
作者: installment 時(shí)間: 2025-3-21 22:37 作者: 思想 時(shí)間: 2025-3-22 02:12
Ying Li,Shrikanth Narayanan,C.-C. Jay Kuorierung (hierarische Gliederung der Module) realisieren zu k?nnen. Zum Standard geh?rt heute auch die M?glichkeit, eigene Programm-Bibliotheken anlegen zu k?nnen. Das bringt Vorteile, wenn selbstentwickelte Programm-Module bibliotheksf?hig gestaltet werden, d.h. in anderen Zusammenh?ngen direkt wied作者: 慢慢沖刷 時(shí)間: 2025-3-22 08:10 作者: 運(yùn)動(dòng)性 時(shí)間: 2025-3-22 09:03 作者: CRAFT 時(shí)間: 2025-3-22 13:14
Temporal Video Boundaries,stem that would operationally analyze continuous video sources over long periods of time. This is very important for consumer video applications where metadata is unavailable, incomplete or inaccurate.作者: facetious 時(shí)間: 2025-3-22 19:55 作者: Concrete 時(shí)間: 2025-3-22 21:27 作者: STEER 時(shí)間: 2025-3-23 03:40 作者: 評(píng)論性 時(shí)間: 2025-3-23 05:54
Book 2003ping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvi- ous overlap with computer vision. The main goal of computer graphics is to generate and animate realistic looking images, and videos. Re- searchers i作者: indemnify 時(shí)間: 2025-3-23 13:22
1571-5205 have obvi- ous overlap with computer vision. The main goal of computer graphics is to generate and animate realistic looking images, and videos. Re- searchers i978-1-4419-5383-4978-1-4757-6928-9Series ISSN 1571-5205 作者: acetylcholine 時(shí)間: 2025-3-23 17:03 作者: mortgage 時(shí)間: 2025-3-23 21:50
Ajay Divakaran,Kadir A. Peker,Regunathan Radhakrishnan,Ziyou Xiong,Romain Cabasson作者: Temporal-Lobe 時(shí)間: 2025-3-23 23:27 作者: 發(fā)出眩目光芒 時(shí)間: 2025-3-24 02:35
Efficient Video Browsing,d on a screen. On the other hand, browsing of multiple audio and video documents could be very time-consuming. Even the task of browsing a single one-hour video to find a relevant segment might take considerable time. Different visualization methods have been developed over the years to assist video作者: 神秘 時(shí)間: 2025-3-24 08:58
Beyond Key-Frames: The Physical Setting as a Video Mining Primitive,ual abstraction of semantic content. Our approach is based on building a highly compact hierarchical representation for long sequences. This is achieved by using non-temporal clustering of scene segments into a new conceptual form grounded in the recognition of real-world backgrounds. We represent s作者: LAVA 時(shí)間: 2025-3-24 11:52 作者: 蕁麻 時(shí)間: 2025-3-24 18:27
Video Summarization Using Mpeg-7 Motion Activity and Audio Descriptors,domain and is compact, and hence is easy to extract and match. We establish that the intensity of motion activity of a video shot is a direct indication of its summarizability. We describe video summarization techniques based on sampling in the cumulative motion activity space. We then describe comb作者: OREX 時(shí)間: 2025-3-24 22:49 作者: 過(guò)度 時(shí)間: 2025-3-25 03:07 作者: graphy 時(shí)間: 2025-3-25 05:38 作者: 不舒服 時(shí)間: 2025-3-25 08:46 作者: 心胸開(kāi)闊 時(shí)間: 2025-3-25 14:42 作者: savage 時(shí)間: 2025-3-25 18:44
Unsupervised Mining of Statistical Temporal Structures in Video,tive segments in a video stream with consistent statistical characteristics. Such structures can often be interpreted in relation to distinctive semantics, particularly in structured domains like sports. While much work in the literature explores the link between the observations and the semantics u作者: 大看臺(tái) 時(shí)間: 2025-3-25 23:03
Pseudo-Relevance Feedback for Multimedia Retrieval, a text description, audio, still images and/or video sequences. The actual search also takes place in the text, audio, image or video domain. We present an approach that uses pseudo-relevance feedback from retrieved items that are NOT similar to the relevant items. An evaluation on the 2002 TREC Vi作者: Monocle 時(shí)間: 2025-3-26 02:36 作者: 新奇 時(shí)間: 2025-3-26 05:36 作者: 橫截,橫斷 時(shí)間: 2025-3-26 12:25 作者: 思想 時(shí)間: 2025-3-26 15:15
1571-5205 me to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, comp作者: Diastole 時(shí)間: 2025-3-26 19:36 作者: 法官 時(shí)間: 2025-3-26 23:31 作者: MAUVE 時(shí)間: 2025-3-27 01:37
Statistical Techniques for Video Analysis and Searching,of independent binary classifiers. We also examine a new method for querying video databases using interactive search fusion in which the user interactively builds a query by interactively choosing target modalities and descriptors and by selecting from various combining and score aggregation functions to fuse results of individual searches.作者: Desert 時(shí)間: 2025-3-27 05:49 作者: 逃避系列單詞 時(shí)間: 2025-3-27 09:32
The International Series in Video Computinghttp://image.papertrans.cn/v/image/982920.jpg作者: CHYME 時(shí)間: 2025-3-27 17:41 作者: CLEFT 時(shí)間: 2025-3-27 21:40 作者: voluble 時(shí)間: 2025-3-27 23:54 作者: neologism 時(shí)間: 2025-3-28 04:37 作者: Compassionate 時(shí)間: 2025-3-28 07:51 作者: 維持 時(shí)間: 2025-3-28 10:27 作者: constitute 時(shí)間: 2025-3-28 18:28 作者: 疲憊的老馬 時(shí)間: 2025-3-28 20:52 作者: 獎(jiǎng)牌 時(shí)間: 2025-3-29 00:45 作者: Insensate 時(shí)間: 2025-3-29 04:51 作者: 最有利 時(shí)間: 2025-3-29 11:10
https://doi.org/10.1007/978-1-59259-468-9Nervous System; axon; brain; central nervous system; development; evolution; fish; information; insects; ion 作者: headway 時(shí)間: 2025-3-29 15:22
Merkmale von Unternehmen, Produkten und Standorten,s der Wertsch?pfung. Deshalb wird der Unterschied zwischen einem Betrieb und einem Unternehmen erl?utert und es werden die wesentlichen Akteure des Wirtschaftslebens sowie die wichtigsten Rechtsformen als die grundlegenden Merkmale von Unternehmen vorgestellt. Eine weitere wesentliche Eigenschaft vo作者: 易于出錯(cuò) 時(shí)間: 2025-3-29 16:55
