Video Lifelog Retrieval System for Ambiguous Search Queries

2020 ◽  
Author(s):  
Mayo Morimoto ◽  
Masashi Fujitsuka ◽  
Sawako Mikami ◽  
Yosuke Motohashi
Keyword(s):  
Retrieval System ◽  
Search Queries

Mental Models and Information Retrieval: What Can Search Queries Tell Us?

2013 ◽  
Author(s):  
Haidar Moukdad ◽  
Andrew Large
Keyword(s):  
Information Retrieval ◽  
Mental Models ◽  
Search Engine ◽  
Mental Model ◽  
Web Search ◽  
Retrieval System ◽  
Information Retrieval System ◽  
Search Queries ◽  
Web Search Engine ◽  
Advanced Search

When information seekers use an information retrieval system their strategy is based, at least in part, on the mental model they have constructed about this environment. A random sample was gathered of more than 2000 actual search queries submitted by users to one web search engine. WebCrawler, in two separate capture sessions. The results suggest that a high proportion of users do not employ advanced search features...

The Impact of a Highly Publicized Celebrity Suicide on Suicide-Related Online Information Seeking

Crisis ◽  
2017 ◽  
Vol 38 (3) ◽  
pp. 207-209 ◽  
Author(s):  
Florian Arendt ◽  
Sebastian Scherr
Keyword(s):  
Suicide Prevention ◽  
Information Seeking ◽  
The Internet ◽  
Online Information ◽  
Search Queries ◽  
Related Information ◽  
Search Terms ◽  
Celebrity Suicide ◽  
Online Information Seeking ◽  
The Impact

Abstract. Background: Research has already acknowledged the importance of the Internet in suicide prevention as search engines such as Google are increasingly used in seeking both helpful and harmful suicide-related information. Aims: We aimed to assess the impact of a highly publicized suicide by a Hollywood actor on suicide-related online information seeking. Method: We tested the impact of the highly publicized suicide of Robin Williams on volumes of suicide-related search queries. Results: Both harmful and helpful search terms increased immediately after the actor's suicide, with a substantial jump of harmful queries. Limitations: The study has limitations (e.g., possible validity threats of the query share measure, use of ambiguous search terms). Conclusion: Online suicide prevention efforts should try to increase online users' awareness of and motivation to seek help, for which Google's own helpline box could play an even more crucial role in the future.

Sound-effects Exploratory Retrieval System Based on Various Aspects

2016 ◽  
Vol 136 (12) ◽  
pp. 1712-1720
Author(s):  
Kahori Okamoto ◽  
Ryosuke Yamanishi ◽  
Mitsunori Matsushita
Keyword(s):  
Retrieval System ◽  
Sound Effects

Pencarian File Gambar Berdasarkan Dominasi Warna

2011 ◽  
Vol 2 (1) ◽  
Author(s):  
Vina Chovan Epifania ◽  
Eko Sediyono
Keyword(s):  
Digital Image ◽  
Retrieval System ◽  
Color Image ◽  
Color Space ◽  
Image Data ◽  
Image Search ◽  
Test Results ◽  
Application Form ◽  
Space Model ◽  
Image File

Abstract. Image File Searching Based on Color Domination. One characteristic of an image that can be used in image searching process is the composition of the colors. Color is a trait that is easily seen by man in the picture. The use of color as a searching parameter can provide a solution in an easier searching for images stored in computer memory. Color images have RGB values that can be computed and converted into HSL color space model. Use of HSL images model is very easy because it can be calculated using a percent, so that in each pixel of the image can be grouped and named, this can give a dominant values of the colors contained in one image. By obtaining these values, the image search can be done quickly just by using these values to a retrieval system image file. This article discusses the use of the HSL color space model to facilitate the searching for a digital image in the digital image data warehouse. From the test results of the application form, a searching is faster by using the colors specified by the user. Obstacles encountered were still searching with a choice of 15 basic colors available, with a limit of 33% dominance of the color image search was not found. This is due to the dominant color in each image has the most dominant value below 33%.   Keywords: RGB, HSL, image searching Abstrak. Salah satu ciri gambar yang dapat dipergunakan dalam proses pencarian gambar adalah komposisi warna. Warna adalah ciri yang mudah dilihat oleh manusia dalam citra gambar. Penggunaan warna sebagai parameter pencarian dapat memberikan solusi dalam memudahkan pencarian gambar yang tersimpan dalam memori komputer. Warna gambar memiliki nilai RGB yang dapat dihitung dan dikonversi ke dalam model HSL color space. Penggunaan model gambar HSL sangat mudah karena dapat dihitung dengan menggunakan persen, sehingga dalam setiap piksel gambar dapat dikelompokan dan diberi nama, hal ini dapat memberikan suatu nilai dominan dari warna yang terdapat dalam satu gambar. Dengan diperolehnya nilai tersebut, pencarian gambar dapat dilakukan dengan cepat hanya dengan menggunakan nilai tersebut pada sistem pencarian file gambar. Artikel ini membahas tentang penggunaan model HSL color space untuk mempermudah pencarian suatu gambar digital didalam gudang data gambar digital. Dari hasil uji aplikasi yang sudah dibuat, diperoleh pencarian yang lebih cepat dengan menggunakan pilihan warna yang ditentukan sendiri oleh pengguna. Kendala yang masih dijumpai adalah pencarian dengan pilihan 15 warna dasar yang tersedia, dengan batas dominasi warna 33% tidak ditemukan gambar yang dicari. Hal ini disebabkan warna dominan disetiap gambar kebanyakan memiliki nilai dominan di bawah 33%. Kata Kunci: RGB, HSL, pencarian gambar

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