TY  - JOUR
T1  - Mining Semantic Patterns in Cricket Videos Using Fuzzy Based Classification
AU - Ranjini, D. Pushpa AU - Manimegalai, D. 
JO  - Asian Journal of Information Technology
VL  - 13
IS  - 3
SP  - 112
EP  - 118
PY  - 2014
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2014.112.118
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2014.112.118
KW  - Information-intensive
KW  -semantic
KW  -browsing
KW  -indexing
KW  -data mining
AB  - Video is an information-intensive media with much redundancy. 
  Therefore, it is desirable to mine structure or semantics of video data for 
  efficient browsing, indexing and highlight extraction. A naive user is interested 
  in querying at the semantic level, rather than having to use features to describe 
  his (her) concept. In most cases it is difficult to express concepts using feature 
  matching and even a good match in terms of feature metrics may yield poor query 
  results for the user. Researchers propose a novel video indexing using semantic 
  pattern. First video preprocessing techniques are applied for processing the 
  video to get audio and video cues. Then mining technique is applied to classify 
  the events based on the semantic patterns. The task to discover useful and interesting 
  patterns from a video is the main goal of video data mining. Data mining on 
  multimedia is a challenging task, due to the complicated contents of multimedia 
  data. Particularly the discovered patterns need to be supported by their semantic 
  features. However, low-level features often have little meaning for naive users, 
  who much prefer to identify content using high level semantics or concepts. 
  This creates a gap between systems and their users that must be bridged for 
  these systems to be used effectively. So, researchers propose to develop a knowledge-based 
  video indexing using fuzzy based classification for mining semantic patterns.
ER  -