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Internet video is currently one of the most popular Internet services, accounting for more than 50% of the overall Internet traffic. Various access patterns of users worldwide contribute to increasing complex scenarios of Internet video. Under the circumstances, there emerges a valuable yet challenging topic that industry and academia keep focusing on: how to evaluate quality of experience (QoE) of...
For the purposes of efficient network resource management and QoS (Quality of Service) support of different video services, this paper proposes a fine grained classification scheme for Internet video traffics based on hierarchical clustering. We study a number of QoS and network resource requirements related statistical features of some typical video applications and validate their effectiveness in...
Representative frames are vital and attractive key components in providing Internet users a way to swiftly browse a video clip in different levels of detail, without the need to view entire video clip. Past study reveals that several schemes have been developed for representative frame extraction however all schemes are not decorating the key frames. This paper proposes a new concept called Representative...
In this paper, we have proposed a highlight based adaptive transmission (HBAT) system to address the soccer video transmission over unpredictable wireless network. The proposed system employs video analysis to rank the highlight level of each frame within its semantic structure, performs optimized temporal operation such as frame dropping on real time stream to maximize remaining ratio of the highlights...
We conjecture that composition of video events from various sources into personalized video playouts will become an important part of next generation streaming systems. Here, video search is a key component since it enables users to retrieve candidate video events based on their interests. One of the main challenges, however, is to analyze the videos in order to correctly identify the various events...
In this study, a vision monitoring system that is applicable to the maintenance of data centers was developed and applied to data center status extraction. The vision monitoring system, which is intended to complement system monitoring tools, such as IPMI and Nagios, has the additional benefit of enabling continuous monitoring of the external status of data centers. This system, which is based on...
In this paper we have implemented a mobile personalized sports video customization system for mobile users by using a novel approach. The system is based on the B/S architecture, with this architecture, the whole system can be divided into two parts: a friendly client browser on smart phones and an intelligent multimedia analysis server. For the client browser, a friend UI is designed for mobile users...
Audio podcasting has been widely used by many online sites such as newspapers, web portals, journal, etc., to deliver audio content to users through download or subscription. Within 1 to 30 minutes long of one podcast story, it is often that multiple audio advertisements (ads) are inserted into and repeated, with each of a length of 5 to 30 seconds, at different locations. Based on knowledge of typical...
In this paper, issues and challenges on digital media, with a focus on video, content management and protection for sharing on the Internet are discussed. High speed wired and wireless networks have helped to facilitate and speedup video transmission and streaming. Hence, the amount of video sharing on the Internet has dramatically increased. This paper will discuss current and future trends of digital...
The amount of online video is increasing tremendously nowadays. For the convenience of information retrieval, video similarity search has become an important research issue in content-based video retrieval. There is still no satisfying scalable fast similarity search method for large database. In order to solve two challenging problems: similarity measure and fast search, a novel efficient video similarity...
This paper presents a new algorithm for detecting the human's reciprocating motion in pornographic videos. First, the motion vector is extracted from mpeg video stream and pretreated so that the motion features are extracted by analyzing the motion rule of the objectionable videos. Then the whole videos are detected through setting a threshold. Experimental results demonstrate that the correct recognition...
Many potential safety problems result from the rapid development of P2P IPTV business, and the foundation for effectively managing the business is to accurately identify unstructured P2P multicast video streaming. In this paper, four flow features are proposed to distinguish unstructured P2P multicast video streaming from P2P file streaming by analyzing the working principle of unstructured P2P multicast...
In this paper, a novel audio retrieval method based on fuzzy classification in MPEG-1 (Moving Pictures Experts Group 1) compressed domain is proposed to search information in steaming media on Internet. In order to avoid the huge decoding time cost, scalefactors are directly extracted from MPEG-1 audio frame as features. At the same time, a distance-based fuzzy classification method is put forward...
With the proliferation of online media services, video ads are pervasive across various platforms involving Internet services and interactive TV services. Existing research efforts such as Google AdSense and MSRA videosense/imagesense have been devoted to the less intrusive insertion of relevant textual or video ads in streams or Web pages through text/image/video content analysis whereas the inherent...
Web 2.0 has become an effective grassroots communication platform for extremists to promote their ideas, share resources, and communicate among each other. As an important component of Web 2.0, online video sharing sites such as YouTube and Google video have also been utilized by extremist groups to distribute videos. This study presented a framework for identifying extremist videos in online video...
The massive amount of near-duplicate and duplicate Web videos has presented both challenge and opportunity to multimedia computing. On one hand, browsing videos on Internet becomes highly inefficient for the need to repeatedly fast-forward videos of similar content. On the other hand, the tremendous amount of somewhat duplicate content also makes some traditionally difficult vision tasks become simple...
The careless illegally copied contents have been rising serious social problem as Internet and multimedia technologies are developing. Therefore, effective and efficient copy detection techniques are required for content management and rights protection. In this paper, we propose a content-based hierarchical video copy detection method that estimates similarity using statistical characteristics between...
Most previous works on video summarization target on a single video document. With the popularity of video corpus (e.g. news video archives) and Web videos, video article that consists of a set of relevant videos are frequently confronted by users. By the traditional single-document summarization, these videos are treated independently and the results are usually redundant due to the lack of inter-video...
The performance of traditional image retrieval approaches remains unsatisfactory, as they are restricted by the wellknown semantic gap and the diversity of textual semantics. To tackle these problems, we propose an improved image retrieval framework when querying with an image. The framework considers not only the discriminative power of various visual properties but also the semantic representation...
As the Internet and multimedia technology develops, the content security of the multimedia has become more and more important. To distinguish various contents in the multimedia, we present an approach for automatic video classification based on combination of MPEG-7 descriptors and second-prediction strategy. In this paper, color, texture, shape and motion descriptors are extracted from five different...
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