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A semantic network acts as an expedient foundation to search for objects in a cooperative room-based knowledge space. But to make the search results useable and give users an intuitive instrument the search interface has to stick to several principles of usability and the search results have to be visualized in an appropriate way. The paper proposed is dealing with the problems related to the visualization...
Automatic music genre classification has received a lot of attention from the music information retrieval (MIR) community in the past years. Systems capable of discriminating music genres are essential for managing music databases. This paper presents a method for music genre classification based solely on the audio contents of the signal. The method relies on a language modeling approach and takes...
In this paper, dual-phase pipeline architecture and variable length instructions of a shader processor are proposed. The dual-phase pipeline architecture achieves a performance of dual core using a single core, and a parallelism of GP-GPU to accelerate graphic operations. For simplifying hardware, the register optimization is proposed. The variable length instructions are designed for efficient executions...
In this paper we address some of the issues commonly encountered in automatic image annotation systems such as simultaneous labeling with keywords corresponding to both abstract terms and object classes, multiple keyword assignment, and low accuracy of labeling due to concurrent categorization to multiple classes. We propose a hierarchical classification scheme which is based on predefined XML-dictionaries...
The following topics are dealt with multimedia computing in image, audio and video: fundamentals; applications; services; content and modeling; control and management, ontology, ubiquitous multimedia; content-based retrieval and analysis; and multimedia work in progress.
Virtualization and emulation techniques are getting better and better, and it feels thus natural to apply them to address the problem of data preservation for future content access. In this paper, we virtualized a number of existing servers and clients and ran the virtual machines under VMware's hypervisor. Not all of the investigated operating systems could be virtualized successfully, and even with...
In this paper, we propose a fast algorithm that can reduce the complexity for inter mode decision of the H.264 encoder by minimizing a large number of calculations of inter mode decision process adaptively. The main idea is to use the technique skipping unnecessary macroblock modes. We focus on two block size modes, which is 16times16 and 8times8 block size modes, in proposed algorithm. The percentage...
Most existing Peer-to-Peer (P2P) Video-on-Demand (VoD) systems have been designed and optimized for the sequential playback. In practice, users often want to seek to the positions they are interested in. Such frequent seeks raise a great challenge to the design of the prefetching scheme. In this paper, we propose an optimal prefetching scheme to minimize the expected seeking delay at every viewing...
Video conferencing in mobile environments involves real time streaming information among mobile nodes connected within a wireless environment. This kind of framework is difficult to deal with, because of its concrete requirements. In this paper, we propose an architecture based on adaptive applications that will change their behavior depending on the network information gathered by the operating system...
This paper describes the development of a generated solution for classification and segmentation of broadcast news audio. A sound stream is segmented by classifying each sub-segment into silence, pure speech, music, environmental sound, speech over music, and speech over environmental sound classes in multiple steps. Support Vector Machines and Hidden Markov Models are employed for classification...
This paper presents a new motion vector coding scheme based on bottom-up merging procedure. For low motion video sequences, most of the storage space of the motion vector data spending on the low motion objects or stills back ground. The proposed scheme merges the neighboring macro-blocks with similar motion vectors into bigger rectangular blocks, and those merged blocks may represent as all or a...
Hixosfs_music is a Linux filesystem that could be included in the standard Linux kernel. Differences respect to the widely used ext2 fllesystem are additional features for storing and efficiently retrieving musical data. Specially it extends the inode for each musical file with new proprieties relatives to the file content such as album, author, title, year. Beside standard user mode tools (stats,...
In this paper a novel and more complete classification of color harmonies and contrasts are presented. It is done on the base of the three main characteristics of the color, which are most closed to the human perception - hue, saturation and lightness. Functions for automatic features extraction from digital images, using MPEG-7 dominant color descriptor are defined. The results of these functions...
This article presents a software tool that implements a dedicated multimedia database management server for managing alphanumerical and multimedia data collections from medical domain. An element of originality for this database management system (DBMS) is that along with classical operations for databases, it includes a series of algorithms used for extracting visual information from images (texture...
Investigations into creating 3D models using the open source application Blender and its accompanying scripting language Python are documented. Firstly, the principles of how virtual models are stored are explained leading to their creation using mathematical algorithms. A plane is considered and a method for automated face generation outlined. Iterative midpoint displacement methods are then discussed...
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