Matches in ScholarlyData for { ?s ?p ?o. }
- authorList hasItem item-4.
- authorList hasItem item-5.
- authorList hasLastItem item-5.
- item-1 type ListItem.
- item-1 hasContent jeffrey-erman.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent alexandre-gerber.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent mohammad-t-hajiaghayi.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent dan-pei.
- item-4 next item-5.
- item-4 previous item-3.
- item-5 type ListItem.
- item-5 hasContent oliver-spatscheck.
- item-5 previous item-4.
- 31 type InProceedings.
- 31 label "Anycast-Aware Transport for Content Delivery Networks".
- 31 sameAs 31.
- 31 abstract "Anycast-based content delivery networks (CDNs) have many properties that make them ideal for the large scale distribution of content on the Internet. However, because routing changes can result in a change of the endpoint that terminates the TCP session, TCP session disruption remains a concern for anycast CDNs, especially for large file downloads. In this paper we demonstrate that this problem does not require any complex solutions. In particular, we present the design of a simple, yet efficient, mechanism to handle session disruptions due to endpoint changes. With our mechanism, a client can continue the download of the content from the point at which it was before the endpoint change. Furthermore, CDN servers purge the TCP connection state quickly to handle frequent switching with low system overhead. We demonstrate experimentally the effectiveness of our proposed mechanism and show that more complex mechanisms are not required. Specifically, we find that our mechanism maintains high download throughput even with a reasonably high rate of endpoint switching, which is attractive for load balancing scenarios. Moreover, our results show that edge servers can purge TCP connection state after a single timeout-triggered retransmission without any tangible impact on ongoing connections. Besides improving server performance, this behavior improves the resiliency of the CDN to certain denial of service attacks.".
- 31 hasAuthorList authorList.
- 31 isPartOf proceedings.
- 31 keyword "Performance, Scalability and Availability".
- 31 title "Anycast-Aware Transport for Content Delivery Networks".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasItem item-5.
- authorList hasLastItem item-5.
- item-1 type ListItem.
- item-1 hasContent zakaria-al-qudah.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent seungjoon-lee.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent michael-rabinovich.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent oliver-spatscheck.
- item-4 next item-5.
- item-4 previous item-3.
- item-5 type ListItem.
- item-5 hasContent jacobus-van-der-merwe.
- item-5 previous item-4.
- 32 type InProceedings.
- 32 label "Less Talk, More Rock: Automated Organization of Community-Contributed Collections of Concert Videos".
- 32 sameAs 32.
- 32 abstract "We describe a system for synchronization and organization of user-contributed content from live music events. We start with a set of short video clips taken at a single event by multiple contributors, who were using a varied set of capture devices. Using audio fingerprints, we synchronize these clips such that overlapping clips can be displayed simultaneously. Furthermore, we use the timing and link structure generated by the synchronization algorithm to improve the findability and representation of the event content, including identifying key moments of interest and descriptive text for important captured segments of the show. We also identify the preferred audio track when multiple clips overlap. We thus create a much improved representation of the event that builds on the automatic content match. Our work demonstrates important principles in the use of content analysis techniques for social media content on the Web, and applies those principles in the domain of live music capture.".
- 32 hasAuthorList authorList.
- 32 isPartOf proceedings.
- 32 keyword "Rich Media".
- 32 title "Less Talk, More Rock: Automated Organization of Community-Contributed Collections of Concert Videos".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasLastItem item-2.
- item-1 type ListItem.
- item-1 hasContent lyndon-kennedy.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent mor-naaman.
- item-2 previous item-1.
- 33 type InProceedings.
- 33 label "A Generalised Cross-Modal Clustering Method Applied to Multimedia News Semantic Indexing and Retrieval".
- 33 sameAs 33.
- 33 abstract "Current Web technology has enabled the distribution of informative content through dynamic media platforms. In addition, the availability of the same content in the form of digital multimedia data has dramatically increased. Contentbased, cross-media retrieval applications are needed to efficiently access desired information from this variety of data sources. This paper presents a novel approach for crossmedia information aggregation, and describes a prototype system implementing this approach. The prototype adopts online newspaper articles and TV newscasts as information sources, to deliver a service made up of items including both contributions. Extensive experiments prove the effectiveness of the proposed approach in a real-world business context.".
- 33 hasAuthorList authorList.
- 33 isPartOf proceedings.
- 33 keyword "Rich Media".
- 33 title "A Generalised Cross-Modal Clustering Method Applied to Multimedia News Semantic Indexing and Retrieval".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasLastItem item-2.
- item-1 type ListItem.
- item-1 hasContent alberto-messina.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent maurizio-montagnuolo.
- item-2 previous item-1.
- 34 type InProceedings.
- 34 label "What Makes Conversations Interesting? Themes, Participants and Consequences of Conversations in Online Social Media".
- 34 sameAs 34.
- 34 abstract "Rich media social networks promote not only creation and consumption of media, but also communication about the posted media item. What causes a conversation to be interesting, that prompts a user to participate in the discussion on a posted video? We conjecture that people participate in conversations when they find the conversation theme interesting, see comments by people whom they are familiar with, or observe an engaging dialogue between two or more people (absorbing back and forth exchange of comments). Importantly, a conversation that is interesting must be consequential – i.e. it must impact the social network itself. Our framework has three parts. First, we detect conversational themes using a mixture model approach. Second, we determine interestingness of participants and interestingness of conversations based on a random walk model. Third, we measure the consequence of a conversation by measuring how interestingness affects the following three variables – participation in related themes, participant cohesiveness and theme diffusion. We have conducted extensive experiments using a dataset from the popular video sharing site, YouTube. Our results show that our method of interestingness maximizes the mutual information, and is significantly better (twice as large) than three other baseline methods (number of comments, number of new participants and PageRank based assessment). create (e.g. upload photo on Flickr), and consume media (e.g. watch a video on YouTube). These websites also allow for significant communication between the users – such as comments by one user on a media uploaded by another. These comments reveal a rich dialogue structure (user A comments on the upload, user B comments on the upload, A comments in response to B's comment, B responds to A's comment etc.) between users, where the discussion is often about themes unrelated to the original video. Example of a conversation from YouTube [1] is shown in Figure 1. In this paper, the sequence of comments on a media object is referred to as a conversation. Note the theme of the conversation is latent and depends on the content of the conversation. The fundamental idea explored in this paper is that analysis of communication activity is crucial to understanding repeated visits to a rich media social networking site. People return to a video post that they have already seen and post further comments (say in YouTube) in response to the communication activity, rather than to watch the video again. Thus it is the content of the communication activity itself that the people want to read (or see, if the response to a video post is another video, as is possible in the case of YouTube). Furthermore, these rich media sites have notification mechanisms that alert users of new comments on a video post / image upload promoting this communication activity.".
- 34 hasAuthorList authorList.
- 34 isPartOf proceedings.
- 34 keyword "Rich Media".