The scope of this paper is to propose an innovative interactive system for 3D visualization of multimedia databases. In such databases, the digital content is accompanied by complementary information and metadata that...
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ISBN:
(纸本)9781934272176
The scope of this paper is to propose an innovative interactive system for 3D visualization of multimedia databases. In such databases, the digital content is accompanied by complementary information and metadata that describe the content. The proposed 3D visualization environment is able to provide multiscale representations driven by appropriate clustering processes that exploit content descriptions. It is also able to provide direct access to all the digital content, both in terms of physical access to the multimedia files as well as in terms of searching and retrieving information.
The paper deals with software productivity improvement for consumer multimedia devices by means of PC and component technology and shows how this is done for complex real-time content analysis applications used in adv...
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The paper deals with software productivity improvement for consumer multimedia devices by means of PC and component technology and shows how this is done for complex real-time content analysis applications used in advanced new storage products of the future. content analysis is a relatively new and immature technology. It is used for browsing and searching particular content items among thousands of others on "big" embedded storage devices like hard disks. As the storage capacity of hard disk and flash continues to grow rapidly, content analysis is bound to become a key enabling technology in future storage products. A major problem with content analysis features (and many other features as well) is that underlying algorithms are unstable, sometimes unavailable, or at least, very much in their infancy, and as such, subject to frequent changes. The paper describes an approach to facilitate early evaluation and integration of such immature features. This is done by packing each feature, as-is, into components and by providing PC network technology to interconnect them. In our prototyping framework, each component is an independent executable program that runs on some PC in the network, streaming AV data via TCP/IP and being controlled through UPnP networking. Experiences with large-scale prototyping activities we have carried out for the assessment of future content analysis systems, show that a PC based prototyping approach enables the integration of many different media processing features in a short time and that it allows for accurate analysis of the resource (CPU/memory) requirements of such components.
A combination of three algorithms is proposed that gives a reasonable rate of success in image similarity searches. All use region based statistical measures using a combination of color features, linear features, and...
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ISBN:
(纸本)1891706179
A combination of three algorithms is proposed that gives a reasonable rate of success in image similarity searches. All use region based statistical measures using a combination of color features, linear features, and intensities combined with a collection of methods for subdividing the image into regions. All possible combinations were evaluated and the best (highest success rate) was selected to be used as a practical image similarity measure. Component algorithms are combined using a simple decision fusion voting scheme, giving success rates in the range of 50-60%. For a web search application this is quite reasonable.
The rapid increase of technological innovations in the mobile phone industry induces the research community to develop new and advanced systems to optimize services offered by mobile phones operators (telcos) to maxim...
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ISBN:
(纸本)9780819466198
The rapid increase of technological innovations in the mobile phone industry induces the research community to develop new and advanced systems to optimize services offered by mobile phones operators (telcos) to maximize their effectiveness and improve their business. Data mining algorithms can run over data produced by mobile phones usage (e.g. image, video, text and logs files) to discover user's preferences and predict the most likely (to be purchased) offer for each individual customer. One of the main challenges is the reduction of the learning time and cost of these automatic tasks. In this paper we discuss an experiment where a commercial offer is composed by a small picture augmented with a short text describing the offer itself. Each customer's purchase is properly logged with all relevant information. Upon arrival of new items we need to learn who the best customers (prospects) for each item are, that is, the ones most likely to be interested in purchasing that specific item. Such learning activity is time consuming and, in our specific case, is not applicable given the large number of new items arriving every day. Basically, given the current customer base we are not able to learn on all new items. Thus, we need somehow to select among those new items to identify the best candidates. We do so by using a joint analysis between visual features and text to estimate how good each new item could be, that is, whether or not is worth to learn on it. Preliminary results show the effectiveness of the proposed approach to improve classical data mining techniques.
The off-chip memory communication is often a critical part of a video processing system. Traditional cache usually behaves poor since some video algorithms such as H.264 motion compensation tend to access memory in an...
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ISBN:
(纸本)9780889866522
The off-chip memory communication is often a critical part of a video processing system. Traditional cache usually behaves poor since some video algorithms such as H.264 motion compensation tend to access memory in an inefficient way. Based on the analysis of cache line fetch efficiency, we find out that more than 10% fetches are inefficient. In this paper, we propose a Heterogeneous Associative Cache (HA Cache) architecture, in which there is an additional special way with a smaller cache line size, special mapping strategy and replacement policy. This scheme can effectively reduce power, cache space, and bandwidth wasted on useless data. By adding a special way to the traditional 2-way set-associative cache (with 1/8 cache size increase), the HA Cache can save up to 10% memory access. In most cases, it is even better than doubling the traditional cache size.
As memory speeds and bus capacitances continue to rise, external memory bus power will make up an increasing portion of the total system power budget for system-on-a-chip embedded systems. Both hardware and software a...
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As memory speeds and bus capacitances continue to rise, external memory bus power will make up an increasing portion of the total system power budget for system-on-a-chip embedded systems. Both hardware and software approaches can be explored to balance the power/performance tradeoff associated with the external memory. In this paper we present a hardware-based, programmable external memory page remapping mechanism which can significantly improve performance and decrease the power budget due to external memory bus accesses. Our approach was developed by studying common data access patterns present in embedded multimedia applications. In the paper, we evaluate a mechanism that can perform page remapping of external memory. We also develop an efficient algorithm to map application data and instruction memory into external memory pages. We employ graph-coloring techniques to guide the page mapping procedure. The objective is to avoid page misses by remapping conflicting pages to different memory banks (i.e., by assigning them different colors). Our algorithm can significantly reduce the memory page miss rate by 70-80% on average. For a 4-bank SDRAM memory system, we reduced external memory access time by 12.6%. The proposed algorithm can reduce power consumption in majority of the benchmarks, averaged by 13.2% of power reduction. Combining the effects of both power and delay, our algorithm can benefit significantly to the total energy cost.
The design of efficient packet scheduling algorithms is crucial to the radio resource management (RRM) in the satellite digital multimedia broadcasting (SDMB) system, which has emerged as a promising solution to the m...
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ISBN:
(纸本)9781424403523
The design of efficient packet scheduling algorithms is crucial to the radio resource management (RRM) in the satellite digital multimedia broadcasting (SDMB) system, which has emerged as a promising solution to the multimediacontent delivery. In order to achieve more efficient quality of service (QoS) provisioning among different multimedia services, a novel packet scheduling algorithm, namely combined delay and rate differentiation (CDRD) packet scheduling, is proposed in this paper. This algorithm takes into account key QoS parameters aiming at fairly prioritising and scheduling heterogeneous multimediacontents in satellite environment. Its performance has been evaluated via simulations. The results show that, in comparison with existing scheduling algorithms, CDRD achieves better performance on delay, jitter and channel utilisation.
The extensive amount of video data stored on available media (hard and optical disks) necessitates video content analysis, which is a cornerstone for different user-friendly applications, such as, smart video retrieva...
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ISBN:
(纸本)9780819466198
The extensive amount of video data stored on available media (hard and optical disks) necessitates video content analysis, which is a cornerstone for different user-friendly applications, such as, smart video retrieval and intelligent video summarization. This paper aims at finding a unified and efficient framework for court-net sports video analysis. We concentrate on techniques that are generally applicable for more than one sports type to come to a unified approach. To this end, our framework employs the concept of multi-level analysis, where a novel 3-D camera modeling is utilized to bridge the gap between the object-level and the scene-level analysis. The new 3-D camera modeling is based on collecting features points from two planes, which are perpendicular to each other, so that a true 3-D reference is obtained. Another important contribution is a new tracking algorithm for the objects (i.e. players). The algorithm can track up to four players simultaneously. The complete system contributes to summarization by various forms of information, of which the most important are the moving trajectory and real-speed of each player, as well as 3-D height information of objects and the semantic event segments in a game. We illustrate the performance of the proposed system by evaluating it for a variety of court-net sports videos containing badminton, tennis and volleyball, and we show that the feature detection performance is above 92% and events detection about 90%.
Enabling transparent and augmented use of multimediacontent across a wide range of networks and devices is still a challenging task within the multimedia research community. Within multimedia frameworks, content adap...
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ISBN:
(纸本)9781424410163
Enabling transparent and augmented use of multimediacontent across a wide range of networks and devices is still a challenging task within the multimedia research community. Within multimedia frameworks, content adaptation is the core concept to overcome this issue. Most media adaptation engines targeting Universal multimediaaccess (UMA) scale the content w.r.t. terminal capabilities and network resource constraints and do not sufficiently consider user preferences. This paper focuses on a hybrid recommender technique for configuring a cross-modal utility model that guides adaptation of multimediacontent. This approach additionally considers the user environment as well as demographic user data which leads to a personalized and increased multimedia experience. Based on a related adaptation decision technique we show how it is possible to offer a personalized adaptation for the individual user. We present a detailed evaluation of the approach based on results earned by subjective tests.
content Distribution Networks (CDNs) have proliferated rapidly with the growth in network bandwidth and the variety of content files. The CDN service is one of the most popular Web services from Internet Service Provi...
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ISBN:
(纸本)9780889866522
content Distribution Networks (CDNs) have proliferated rapidly with the growth in network bandwidth and the variety of content files. The CDN service is one of the most popular Web services from Internet Service Providers (ISPs), since most ISPs are currently striving to provide additional services besides their original Internet access service. The Internet has seen an explosive increase in the number of users, which causes network servers to become overloaded, and we are currently facing several serious issues, such as declining reliability, increased response time, and so on. The replicated allocation of content files on cache servers for load-balancing is known as an effective solution to overcome these issues. In CDNs, one of the most important problems is how we allocate cache servers and content files while considering trade-offs between the cost, reliability, and delay. In this paper, we examine an example of the CDN service in an ISP "BBit-Japan", which is one of the biggest CDN service providers in Japan. We apply this example to the cache server and content allocation model which we have proposed. This optimization model introduces 0-1 integer programming to determine the optimal allocation of cache servers and content files. In this optimization model, we aim to maximize the reliability of the whole system subject to restrictions of cost and delay, and in considering trade-offs between reliability, cost, and delay. The use of this optimization model makes it possible to show precisely how they can properly allocate cache servers and content files at limited cost and within permissible delays to the CDN service providers.
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