Multilayer Semantic Data Model for Sports Video

نویسندگان

  • A. Sunitha
  • P. Govindarajulu
چکیده

Content-based video management system has become an active research topic for many researchers, which can fully abstract the content of video and index the video objects. A hierarchical semantic abstraction for sports video is proposed in the paper. We have represented the semantics of sports video at three levels of abstraction (using cricket video as an example). The top layer describes the content independent features, where they are described as context independent and context dependent features. The middle layer abstracts the key concepts of sports video. In the bottom layer, concept_measures of the concepts are described by using fuzzy approach to find the semantic similarity. For storing, concepts and concept_measures we have used XML databases. The proposed system can easily be applied to any sports video.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Research on multi-pattern fusion

In order to effectively integrate multimodal information and multilayer constraints, we present a unified probabilistic framework for sports video analysis. Based the framework, three instances of statistical models are constructed and compared. Experimental results indicate our method with multimodal fusion processes semantic events in sports video more effectively.

متن کامل

Edge-based semantic classification of sports video sequences

This paper presents an edge-based semantic classification of sports video sequences. The paper presents an algorithm for edge detection, and illustrates the usage of edges for semantic analysis of video content. We first propose an algorithm for detecting edges within video frames directly on the MPEG format without a decompression process. The algorithm is based on a spatial-domain synthetic e...

متن کامل

Semantic Analysis of Field Sports Video using a Petri-Net of Audio-Visual Concepts

The most common approach to automatic summarisation and highlight detection in sports video is to train an automatic classifier to detect semantic highlights based on occurrences of low-level features such as action replays, excited commentators or changes in a scoreboard. We propose an alternative approach based on the detection of perception concepts (PCs) and the construction of Petri-Nets w...

متن کامل

Semantic Annotation of Sports Videos

consideration sports videos’ unique qualities, we propose a system that semantically annotates them at different layers of semantic significance, using different elements of visual content. We decompose each shot into its visual and graphic content elements and, by combining several different low-level visual primitives, capture semantic content at a higher level of significance. T he quantity ...

متن کامل

Bridging the semantic gap in sports video retrieval and summarization

One of the major challenges facing current media management systems and related applications is the so-called ‘‘semantic gap’’ between the rich meaning that a user desires and the shallowness of the content descriptions that are automatically extracted from the media. In this paper, we address the problem of bridging this gap in the sports domain. We propose a general framework for indexing and...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007