Until now, many researches based on metadata have been studied for data integration in various fields. However, there exists a problem in that the existing approaches still require much cost to build an initial guidel...
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Digital video communications have been characterized by an exponential growth in the last decades. The continuous growth causes an evolution of several new applications such as video conferencing, video e-mail, mobile...
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ISBN:
(纸本)0889863962
Digital video communications have been characterized by an exponential growth in the last decades. The continuous growth causes an evolution of several new applications such as video conferencing, video e-mail, mobile video, video streaming over internet, and sign language video communication, etc. To transmit video over internet or wireless networks, such applications needs digital video coding algorithm such that video could be compressed to meet bandwidth requirements. In this paper, we focus on the study of motion estimation and compensation in sign language video coding. We discuss and identify the approach of utilizing such motion information of sign language video for efficient sign language video communication applications.
Currently embedded systems become more and more important and widely applied to everywhere around us, such as a mobile phone, a PDA, an HDTV, and so on. In this paper, we applied OpenMP to non-traditional benchmarks, ...
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The simulation results and analysis of a novel transmission technique namely double carrier modulation/differential detection are presented, we show how the differential detection technique improves the system perform...
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In this paper, an end-to-end real-time adaptive protocol for multimedia transmission is presented. The transmission rate is determined by the quadratic probing algorithm that can obtain the maximal utilization of the ...
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In this paper, a powerful open Multiple Instance Learning (MIL) framework is proposed. Such an open framework is powerful since different sub-methods can be plugged into the framework to generate different specific Mu...
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Recent research effort in Content-Based Image Retrieval (CBIR) focuses on bridging the gap between low-level features and high-level semantic contents of images as this gap has become the bottleneck of CBIR. In this p...
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ISBN:
(纸本)1581137265
Recent research effort in Content-Based Image Retrieval (CBIR) focuses on bridging the gap between low-level features and high-level semantic contents of images as this gap has become the bottleneck of CBIR. In this paper, an effective image database retrieval framework using a new mechanism called the Markov Model Mediator (MMM) is presented to meet this demand by taking into consideration not only the low-level image features, but also the high-level concepts learned from the history of user's access pattern and access frequencies on the images in the database. Also, the proposed framework is efficient in two aspects: 1) Overhead for real-time training is avoided in the image retrieval process because the high-level concepts of images are captured in the off-line training process. 2) Before the exact similarity matching process, Principal Component Analysis (PCA) is applied to reduce the image search space. A training subsystem for this framework is implemented and integrated into our system. The experimental results demonstrate that the MMM mechanism can effectively assist in retrieving more accurate results from image databases. Copyright 2003 ACM.
This paper presents a content-based image retrieval (CBIR) system that incorporates real-valued multiple instance learning (MIL) into the user relevance feedback (RF) to learn the user's subjective visual concepts...
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The emergence of the computational Grid and the potential for seamless aggregation, integration and interactions has made it possible to conceive a new generation of realistic, scientific and engineering simulations o...
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