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Video adaptation has been considered as a promising technique to tackle challenging problems in pervasive multimedia applications. However, the styles of video representation and description in existing framework are not flexible enough to adapt diversified application environment. In this paper, we propose a novel solution based on intermediate description, which can support fast multiple video adaptation...
Image classification is an important topic in multimedia analysis, among which multi-label image classification is a very challenging task with respect to the large demand for human annotation of multi-label samples. In this paper, we propose a multi-view multi-label active learning strategy, which integrates the mechanism of active learning and multi-view learning. On one hand we explore the sample...
In peer-to-peer (P2P) on-demand streaming applications, multimedia content is divided into segments and peers can seek any segments for viewing at anytime. Since different segments may be of different popularity, random segment caching would lead to a segment popularity-supply mismatch, and hence an uneven workload distribution among peers. Some popular segments may be far from peers, leading to inefficient...
The experiment reported in this paper sought to discover the impact that enhancing multimedia applications with olfaction has on an information recall. In contrast to previously reported studies. our results showed that olfaction actually had a negative impact on information recall. We believe that this difference is due to the ambiental nature of olfaction in previous work, whereas in our study we...
Mining repeating patterns from music data is one of the most interesting issues of multimedia data mining. However, less work are proposed for mining polyphonic repeating patterns. Hence, two efficient algorithms, A-PRPD (Apriori-based Polyphonic Repeating Pattern Discovery) and T-PRPD (Tree-based Polyphonic Repeating Pattern Discovery), are proposed to discover polyphonic repeating patterns from...
An approach for implementing affective information as tags for multimedia content indexing and retrieval is presented. The approach can be used for implicit as well as explicit tags and is presented here using data recorded during the viewing of movie fragments containing annotations and physiological signal recordings. For retrieval based on affective queries, a representation of the query-words...
In this position paper, we first review the state-of-the-art in graph-based semi-supervised learning, and point out three limitations that are particularly relevant to multimedia analysis: (1) rich data is restricted to live on a single manifold; (2) learning must happen in batch mode; and (3) the target label is assumed smooth on the manifold. We then discuss new directions in semi-supervised learning...
This paper outlines several multimedia systems that utilize a multimodal approach. These systems include audiovisual based emotion recognition, image and video retrieval, and face and head tracking. Data collected from diverse sources/sensors are employed to improve the accuracy of correctly detecting, classifying, identifying, and tracking of a desired object or target. It is shown that the integration...
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...
In this position paper, we propose the idea that emergent and evolutionary aspects of semantics, which are complementary to the problem of semantic detection, are foundational to multimedia computing. We show that media rich social networks reveal certain implicit assumptions in concept learning about semantics, including semantic stability, emergence, and stability of context. We study the problem...
In this paper, we present a framework called ldquoWhat-you-seeis- what-I-see (WYSIWIS)rdquo. The framework describes a new trend for multimedia information (such as images and videos) sharing using an Eyetap device and a method to retrieve similar multimedia content. This Eyetap device is equipped with a video camera and networking capability. It can be used to capture an image or recording a video...
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...
Driven by the need for interactive entertainment, modern PCs are equipped with specialized graphics processors (GPUs) for creation and display of images. These GPUs have become increasingly programmable, to the point that they now are capable of efficiently executing a significant number of computational kernels from non-graphical applications. In this introductory paper we first present a high-level...
This paper proposes a computing paradigm where many users share a host platform consisting of one or more multicore CPU(s) and GPU(s). Each user is connected to the host by a link transferring primarily compressed compound video of screen, mouse and keyboard data. All computation and processing tasks including but not limited to 2D/3D graphics and multimedia processing are done on the host using a...
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