Correlation based Effective Periodic Pattern Extraction from Multimedia Data
نویسندگان
چکیده
Periodic Pattern Mining, an interdisciplinary field of data mining is concerned with analyzing large volumes of time series or temporal data to discover patterns or trends or certain characteristics of data automatically. Temporal data captures the evolution of a data value over time. The existing Periodicity Mining Process is Text-Based which can be applied only to text data. The project proposed deals with the Periodic Patterns in Multimedia Data which includes text as well as audio and images. Multimedia data such as digital images and audio can be treated as temporal values, since a timestamp is implicitly attached to every instant of the signal. A Cross Correlation based approach is proposed for periodic mining of multimedia data
منابع مشابه
Proposing an effective approach for Network security and multimedia documents classically using encryption and watermarking
Local binary pattern (LBP) operators, which measure the local contrast within a pixel's neighborhood, successfully applied to texture analysis, visual inspection, and image retrieval. In this paper, we recommend a semi blind and informed watermarking approach. The watermark has been built from the original image using Weber Law. The approach aims is to present a high robustness and imperceptibi...
متن کاملIntegration of Pattern Information and Natural Language Information for Image Analysis and Retrieval
Cooperative use of pattern information and natural language information is quite effective for sophisticated and flexible information processing. Therefore, it is important to investigate the integration of these kinds of information (especially in multimedia). For this purpose, we propose method for image analysis by using the natural language information extracted from the explanation text of...
متن کاملMistral – Measurable, Intelligent and Reliable Semantic Extraction and Retrieval of Multimedia Data
Multimedia data has a rich and complex structure in terms of interand intra-document references. Its potential is severely limited unless effective methods for semantic extraction and semantic-based cross-media exploration and retrieval can be devised. Today’s leading-edge techniques in this area are working well for low-level feature extraction and, to a certain degree, for concept recognition...
متن کاملKnowledge and Information Systems REGULAR
Recently, periodic pattern mining from time series data has been studied extensively. However, an interesting type of periodic pattern, called partial periodic (PP) correlation in this paper, has not been investigated. An example of PP correlation is that power consumption is high either on Monday or Tuesday but not on both days. In general, a PP correlation is a set of offsets within a particu...
متن کاملEEG Based Brain Computer Interface Hand Grasp Control: Feature Extraction Method MTCSP
Brain-Computer Interfaces (BCIs) are communication systems, which enable users to send commands to computers by using brain activity only; this activity being generally measured by Electroencephalography (EEG). BCIs are generally designed according to a pattern recognition approach, i.e., by extracting features from EEG signals, and by using a classifier to identify the user’s mental state from...
متن کاملذخیره 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 2017