Pavideoge: A Metadata Markup Video Structure in Video Search Engine
Pu Yang, Jun Guo, Guang Chen

TL;DR
This paper introduces pavideoge, a new data structure combining video and webpage attributes to improve video search engine effectiveness, resulting in more precise video retrieval.
Contribution
The paper proposes pavideoge, a novel metadata markup structure that enhances video search accuracy by integrating video and webpage properties.
Findings
Improved video retrieval precision over previous methods
Pavideoge effectively combines video and webpage data
Encouraging experimental results demonstrate its utility
Abstract
In this paper, we study the problems of video processing in video search engine. Video has now become a very important kind of data in Internet; while searching for video is still a challenging task due to the inner properties of video: requiring enormous storage space, being independent, expressing information hiddenly. To handle the properties of video more effectively, in this paper, we propose a new video processing method in video search engine. In detail, the core of the new video processing method is creating pavideoge--a new data type, which contains the video advantages and webpage advantages. The pavideoge has four attributes: real link, videorank, text information and playnum. Each of them combines video's properties with webpage's. Video search engine based on the pavideoge can retrieve video more effectively. The experiment results show the encouraging performance of our…
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Taxonomy
TopicsWeb Data Mining and Analysis · Advanced Image and Video Retrieval Techniques · Image Retrieval and Classification Techniques
