Beyond market baskets: generalizing association rules to correlations
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
A new approach to retrieve video by example video clip
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
ACM Computing Surveys (CSUR)
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Selecting the right interestingness measure for association patterns
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Multimedia Systems - Special section on video libraries
Speaker Recognition with the Switchboard Corpus
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Retrieval of News Video Using Video Sequence Matching
MMM '05 Proceedings of the 11th International Multimedia Modelling Conference
Video Data Mining: Semantic Indexing and Event Detection from the Association Perspective
IEEE Transactions on Knowledge and Data Engineering
Supporting retrieval of configurable goods based on statistical analysis of combination constraints
Systems and Computers in Japan
Text Classification without Negative Examples Revisit
IEEE Transactions on Knowledge and Data Engineering
Large-Scale Concept Ontology for Multimedia
IEEE MultiMedia
Mining temporal patterns of movement for video content classification
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Efficient sampling of training set in large and noisy multimedia data
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
EMD-based video clip retrieval by many-to-many matching
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
A semantic event-detection approach and its application to detecting hunts in wildlife video
IEEE Transactions on Circuits and Systems for Video Technology
Query-based video event definition using rough set theory
EiMM '09 Proceedings of the 1st ACM international workshop on Events in multimedia
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In videos, even if events have the same semantic content (e.g. conversation, battle, chase and so on), they are presented in different ways. So, these events have significantly different properties. For example, one battle event is characterized by a large sound volume (e.g. gunshot), while another one is characterized by a large amount of motion (e.g. fighting action). Thus, events with the same semantic content cannot be internally defined by a single model. In this paper, we propose an example-based event retrieval method which uses multiple queries to externally define events with the same semantic content. Specifically, we apply rough set theory to multiple queries. Thereby, we can extract subsets of events, which are characterized by different combinations of low-level features. Then, by unifying extracted subsets, we conceptualize the semantic content. The experimental results indicate a possibility of our method based on multiple queries and rough set theory.