caa a22 4500 445322365 CHVBK 20180317142708.0 cr unu---uuuuu 170323e20111001xx s 000 0 eng 10.1007/s00530-010-0223-8 doi (NATIONALLICENCE)springer-10.1007/s00530-010-0223-8 Personalized video similarity measure [Elektronische Daten] [Jialie Shen, Zhiyong Cheng] As an effective technique to manage and explore large scale of video collections, personalized video search has received great attentions in recent years. One of the key problems in the related technique development is how to design and evaluate the similarity measures. Most of the existing approaches simply adopt traditional Euclidean distance or its variants. Consequently, they generally suffer from two main disadvantages: (1) low effectiveness—retrieval accuracy is poor. One of main reasons is that very little research has been carried out on designing an effective fusion scheme for integrating multimodal information (e.g., text, audio and visual) from video sequences and (2) poor scalability—development process of the video similarity metrics is largely disconnected from that of the relevant database access methods (indexing structures). This article reports a new distance metric called personalized video distance to effectively fuse information about individual preference and multimodal properties into a compact signature. Moreover, a novel hashing-based indexing structure has been designed to facilitate fast retrieval process and better scalability. A set of comprehensive empirical studies have been carried out based on two large video test collections and carefully designed queries with different complexities. We observe significant improvements over the existing techniques on various aspects. Springer-Verlag, 2010 Video search nationallicence Similarity measure nationallicence Indexing structure nationallicence Scalability nationallicence Shen Jialie School of Information Systems, Singapore Management University, 178902, Singapore, Singapore aut Cheng Zhiyong School of Information Systems, Singapore Management University, 178902, Singapore, Singapore aut Multimedia Systems Springer-Verlag 17/5(2011-10-01), 421-433 0942-4962 17:5<421 2011 17 530 https://doi.org/10.1007/s00530-010-0223-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s00530-010-0223-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Shen Jialie School of Information Systems, Singapore Management University, 178902, Singapore, Singapore aut NATIONALLICENCE 700 1- Cheng Zhiyong School of Information Systems, Singapore Management University, 178902, Singapore, Singapore aut NATIONALLICENCE 773 0- Multimedia Systems Springer-Verlag 17/5(2011-10-01), 421-433 0942-4962 17:5<421 2011 17 530 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer