22546600
Fast and robust detection of near-duplicates in web video database
Web video databases tend to contain tremendous near-duplicates with the explosive growth of online videos. How to detect and eliminate these near-duplicates has become an essential problem for Web video storage and indexing. In this paper, we propose a hierarchical approach to solve this problem efficiently and effectively. For an incoming video, firstly we compare global features to exclude videos with large differences. Then pairwise comparison of key-frame level features with more computation cost is performed. For pairwise comparison, we adopt the maximum matching (MM) framework on bipartite graph. Instead of using standard well-known MM algorithm, a simple approximate algorithm of MM and a graph cut algorithm are applied for a higher speed. Experimental results over two databases summing up to more than 20,000 videos demonstrate our algorithmpsilas excellent performance in both speed and accuracy.
17111160
Video Histogram: A Novel Video Signature for Efficient Web Video Duplicate Detection
The explosive growth of information technology and digital content industry stimulates various video applications over the Internet. Since it is quite easy to copy, reformat, modify and republish video files on the websites, similarity/duplicate detection and measurement is essential to identify the excessive content duplication, so as to facilitate effective video search and intelligence propriety protection as well. In this paper, we propose a novel signature-based approach for duplicate video comparison. The so-called video histogram scheme counts the numbers of video’s frames that are closest to a set of representative seed vectors chosen from the feature space of the training data set in advance. Then all the numbers are normalized to generate the signature of the video for further comparison. As our signature is a compact fixed-size vector with low dimension for each video, it requires less storage and computation cost than previous methods. The experiments show that our approach is both efficient and effective for web video duplicate detection.
449203
Topic mining on web-shared videos
Internet videos have grown exponentially with the help from video sharing Websites. Automatic topic mining is therefore increasingly important for organizing and navigating such large video databases. Most of current solutions of topic detection and mining were done on news videos and cannot be directly applied on Web videos, because of their limited and noisy semantic information. In this paper, we will try to address this problem and propose an automatic topic mining framework on Web videos. We develop an iterative weight-updated co-clustering scheme to filter "noisy" tags and mine the "hot" topics. We then propose a visual-based clustering approach to further group the videos with similar content, and rank the visual-similar groups by their similarity to the topic center. Experiments on a large Web video database demonstrate the superior performance of our weight-updated co-clustering to both of the traditional co-clustering and k-means. The experiments also demonstrate significant improvement of users' experience by our visual-based clustering and ranking.
14319592
The Development and Status of Automobile E-Commerce in China
Although the hype surrounding the promise of electronic commerce seems all pervasive currently, there is an absence of research on automobile eCommerce, especially in developing countries, which covers wide-ranging issues beyond contextual imperatives. This paper tries to fill in the gap, by analyzing the impacts of eCommerce on automobile industry in China, and the factors of eCommerce adoption and development of automobile industry in China from internal, external and contextual perspectives, after describing the internet and ecommerce in china. From the situation of automobile ecommerce in China, the paper finds that the automobile industry in China, especially automobile sales, remains only superficially affected by the ecommerce. This is a big difference from the developed countries such as U.S. The paper also displays the important aspects to the development of automobile ecommerce in China such as infrastructure, role of the central government, serving the customer better, security, customer trust, delivery, and so on.
15166655
The Vector Data Management of GIS Based on PDA
Traditionally, vector data of GIS based on PDA is managed with a traditional pyramid model to promote displaying speed. However, this pyramid model does not flexible or practical enough to solve many problems, neither the data file designing and data processing method are discussed before. Therefore, in this paper, an improved pyramid model is proposed and a new data format for the model is designed, also, the data processing method is discussed. The experimental results show that, this solution is practical and efficient.
14971936
Does Familiarity Breed Content? Taking Account of Familiarity with a Topic in Personalizing Information Retrieval
We report on an evaluation of the effectiveness of considering a user's familiarity with a topic in improving information retrieval performance. This approach to personalization is based on previous results indicating differences in user search behavior and judgments according to his/her familiarity to the topic explored, and to research on using implicit sources of evidence to determine the user's context and preferences. Our attempt was to relate a topic-dependent concept and measure, familiarity with the topic, with topic-independent measures of documents such as readability, concreteness/abstractness, and specificity/generality. Contrary to our expectations, a user’s familiarity with a topic has no effect on the utility of readability or concrete/abstract scoring. We are encouraged, however, to find that high readability had a positive effect on search results, regardless of a user’s familiarity with a topic.
36508955
Parameter convergence and minimal internal model with an adaptive output regulation problem
The parameter convergence of nonlinear adaptive control systems is an important yet not well addressed issue. In this paper, using the global robust output regulation problem of output feedback systems with unknown exosystems as a platform, we will show that the well known persistency of excitation (PE) condition still guarantees the convergence of the estimated parameter vector to the true parameter vector. Moreover, the PE condition will be satisfied if the internal model is minimal in certain sense.
3090205
Challenges for End-to-End Quality of Service in Heterogeneous Networks
To guarantee the end-to-end QoS (E2E Quality of Service) in heterogeneous network is an important issue to provide pervasive and trusted service. Currently, the different networks are optimized for different services, but it becomes urgent to provide pervasive service across different networks. This paper gives an overview on how to design a dynamic and integrated QoS architecture under heterogeneous networks. This paper firstly analyzes the actuality of the E2E quality of service in heterogeneous networks, and then discusses the requirements of the E2E QoS of two types of heterogeneous networks, finally points out the five key issues to solve the practical problem in the current network.