The Wayback Machine - https://web.archive.org/web/20160103002737/http://csdl.computer.org/rss/multimedia.xml
IEEE MultiMedia http://www.computer.org IEEE MultiMedia covers technical information on a broad range of issues in multimedia systems and applications. Typical topics include hardware and software for media compression, media storage/transport, workstation support for multimedia, data modeling, and abstractions to embed multimedia in application programs. The information consists of articles, product reviews, new product descriptions, book reviews and announcements of conferences and workshops. Articles discuss research as well as advanced practice in hardware/software and span the range from theory to working systems. en-us Mon, 3 Nov 2014 15:35:31 GMT http://csdl.computer.org/common/images/logos/multimedia.gif IEEE Computer Society List of recently published journal articles http://www.computer.org/multimedia Issue: July-Sept. 2014 (Vol. 21 No.3) http://www.computer.org/csdl/mags/mu/2014/03/index.html IEEE MultiMedia http://www.computer.org/portal/site/multimedia PrePrint: Bi-directional Mesh-based Frame Rate Up-conversion with a Dense Motion Vector Map http://doi.ieeecomputersociety.org/10.1109/MMUL.2014.21 In this paper, we propose a new frame rate up-conversion (FRUC) method for temporal video quality enhancement. The proposed algorithm generates an interpolated frame in between two given frames based on a bi-directional mesh interpolation (BMI), in order to cope with not only translation, but also with scale and rotation changes. BMI performance is highly influenced by the accuracy of the correspondences between the control points in the two frames. To achieve an accurate dense motion vector map (MVM) through bi-directional and uni-directional motion estimation, an initial MVM is formed by the transmitted motion vectors from coded bitstream with low computational complexity. Then, the interpolated frame is generated by frame-based BMI with the dense MVM. In our experiments, we found out that the proposed algorithm is about 2dB better than several conventional FRUC methods. Furthermore, block artifacts and blur artifacts are significantly diminished by the proposed algorithm. http://doi.ieeecomputersociety.org/10.1109/MMUL.2014.21 PrePrint: Media contracts formalization using a standardized contract expression language http://doi.ieeecomputersociety.org/10.1109/MMUL.2014.22 Contract Expression Languages allow representing business contracts in a digital, structured form. Some examples of XML-based languages are the Content Reference Forum format, the OASIS eContracts standard or a proposed extension for MPEG-21 Part 5 for contracts. These formats have influenced in the design of the MPEG-21 Parts 20 Contract Expression Language (CEL) and 21 Media Contract Ontology (MCO), which have been recently specified by modelling the most relevant clauses found in a large set of contracts in the audiovisual sector. The MPEG-21 CEL, described in this paper, defines a language for representing media contracts as XML. It is structured in two schemas, a core defining the structural elements of a contract, and an extension with vocabulary for specific applications. An exemplary mapping of a contract instance is discussed. http://doi.ieeecomputersociety.org/10.1109/MMUL.2014.22 PrePrint: Near-duplicate Video Retrieval: Current Research and Future Trends http://doi.ieeecomputersociety.org/10.1109/MMUL.2011.39 Note: Document Withdrawn from CSDL. The document that would normally appear here has been withdrawn at the request of the authors. Reasonable effort should be made to remove all past references to this document. We regret any inconvenience.          The exponential growth of online videos, along with the increasing user involvements to video-related activities, has been observed as a constant phenomenon during last decade. User's time spent on video capturing, editing, uploading, searching and viewing has boosted to an unprecedented level. The massive publishing and sharing of videos has given rise to the existence of a already-large amount of near-duplicate content. This imposes urgent demands on near-duplicate video retrieval as a key role in novel tasks such as video search, video copyright protection, video recommendation, and many more. Driven by its significance, near-duplicate video retrieval has recently attracted lots of attention. As discovered in recent works, latest improvements and progresses in near-duplicate video retrieval as well as related topics including low-level feature extraction, signature generation and high-dimensional indexing, are employed to assist the process. As we survey the works in near-duplicate video retrieval, we comparatively investigate existing variants of the definition of near-duplicate video, describe a generic framework, summarize state-of-the-art practices, and explore the emerging trends of this research topic. http://doi.ieeecomputersociety.org/10.1109/MMUL.2011.39