A Novel Video Retrieval System Using GED-based Similarity Measure
نویسندگان
چکیده
In this paper, we propose a novel video retrieval system using Generalized Eigenvalue Decomposition (GED). The system contains two major subsystems: database creation and database searching. In both subsystems, we propose new methods for shot-feature extraction, feature dimension transformation and feature similarity measuring base on GED. Experimental results confirm the effectiveness of our proposed system.
منابع مشابه
A New Similarity Measure Based on Item Proximity and Closeness for Collaborative Filtering Recommendation
Recommender systems utilize information retrieval and machine learning techniques for filtering information and can predict whether a user would like an unseen item. User similarity measurement plays an important role in collaborative filtering based recommender systems. In order to improve accuracy of traditional user based collaborative filtering techniques under new user cold-start problem a...
متن کاملA NOVEL FUZZY-BASED SIMILARITY MEASURE FOR COLLABORATIVE FILTERING TO ALLEVIATE THE SPARSITY PROBLEM
Memory-based collaborative filtering is the most popular approach to build recommender systems. Despite its success in many applications, it still suffers from several major limitations, including data sparsity. Sparse data affect the quality of the user similarity measurement and consequently the quality of the recommender system. In this paper, we propose a novel user similarity measure based...
متن کاملContent based Video Retrieval using Latent Semantic Indexing and Color, Motion and Edge Features
Optimal efficiency of the retrieval techniques depends on the search methodologies that are used in the video processing system. The use of inappropriate search methodologies may make the processing system ineffective. Hence, an effective video segmentation and retrieval system is an essential pre-requisite for searching a relevant video from a huge collection of videos. In this paper we propos...
متن کاملFast Computation of Graph Edit Distance
The graph edit distance (GED) is a well-established distance measure widely used in many applications. However, existing methods for the GED computation suffer from several drawbacks including oversized search space, huge memory consumption, and lots of expensive backtracking. In this paper, we present BSS GED, a novel vertex-based mapping method for the GED computation. First, we create a smal...
متن کاملA Similarity Measure for Vision-Based Sign Recognition
When we encounter an English word that we do not understand, we can look it up in a dictionary. However, when an American Sign Language (ASL) user encounters an unknown sign, looking up the meaning of that sign is not a straightforward process. It has been recently proposed that this problem can be addressed using a computer vision system that helps users look up the meaning of a sign. In that ...
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 2009