Video Search Reranking with Relevance Feedback Using Visual and Textual Similarities

Author(s):  
Takamasa FUJII ◽  
Soh YOSHIDA ◽  
Mitsuji MUNEYASU
Author(s):  
Miroslav Kratochvil ◽  
František Mejzlík ◽  
Patrik Veselý ◽  
Tomáš Soućek ◽  
Jakub Lokoć

Author(s):  
Cathal Gurrin ◽  
Dag Johansen ◽  
Alan F. Smeaton

Author(s):  
К. Жукова ◽  
K. Zhukova ◽  
С. Ляшева ◽  
S. Lyasheva ◽  
Михаил Шлеймович ◽  
...  
Keyword(s):  

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
Albert Albert ◽  
Marcel Bonar Kristanda ◽  
Seng Hansun

A catalog is a register of all bibliographic items found in a library. A bibliographic item can be any information entity. The library catalog has evolved from manual, website based catalog to mobile catalog. Unfortunately, there are still many obstacles in the results of library catalog search, including the relevant results of documents based on input from the user. The purpose of this research is to make the library catalog based on mobile application in android using relevant calculation used rocchio relevance feedback method. Terms— android, library, library catalog, mobile, rocchio.


2018 ◽  
Vol 9 (1) ◽  
pp. 9-17
Author(s):  
Marcel Bonar Kristanda ◽  
Seng Hansun ◽  
Albert Albert

Library catalog is a documentation or list of all library collections. Unfortunately, there is a problem identified in the process of searching a book inside library catalog in Universitas Multimedia Nusantara’s library information system regarding the relevant result based on user query input. This research aims to design and build a library catalog application on Android platform in order to increase the relvancy of searching result in a database using calculated Rocchio Relevance Feedback method along with user experience measurement. User experience analysis result presented a good respond with 91.18% score based by all factor and relevance value present 71.43% precision, 100% recall, and 83.33% F-Measure. Differences of relevant results between the Senayan Library Information system (SLiMS) and the new Android application ranged at 36.11%. Therefore, this Android application proved to give relevant result based on relevance rank. Index Terms—Rocchio, Relevance, Feedback, Pencarian, Buku, Aplikasi, Android, Perpustakaan.


Author(s):  
Zhuo Chen ◽  
Jie Lin ◽  
Zhe Wang ◽  
Vijay Chandrasekhar ◽  
Weisi Lin
Keyword(s):  

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