Found inside – Page 389In Lecture Notes in Computer Science: Pattern Recognition and Image Analysis (pp. ... A symbolic query-by-example framework for the image retrieval ... Found inside – Page iiiThe authors are top-class researchers in security and cryptography, and the contributions are of value to researchers and practitioners in these domains. This book is open access under a CC BY license. Found inside – Page 303... “growth factors,” much likely in the spirit of the earlier empirical search for suitable conditions to grow bacteria.60 Landecker described this period ... Found inside – Page 6018Semantic Image Retrieval Leung, & Li. (2012). A Framework of Semantic Image Retrieval Using Collaborative Indexing and Filtering. In Proceedings of the 2012 ... Found inside – Page 792Content Based Image Retrieval Using Normalization of Vector Approach to SVM Sumit Dhariwal, Sandeep Raghuwanshi, and Shailendra Shrivastava Smrat Ashok ... Found inside – Page iThis book constitutes the refereed proceedings of the 40th European Conference on IR Research, ECIR 2018, held in Grenoble, France, in March 2018. Found inside – Page 235Context-based image retrieval Context based image retrieval is widely applied in web-based image retrieval. Images embedded in the web pages have plenty of ... Found inside – Page 117In the first phase of this investigation, several WWW image search engines were evaluated and compared, by using them with the same queries. Found inside – Page 770... compared with UVSE(VGG) on image annotation task, and 32.7% and 36.9% improvement on image search task. Compare to the results on Flickr8k dataset, ... Found inside – Page 216fusion of automatic annotation of speech recognition and image semantic image retrieval system. The system is more humane and intelligent, more suitable for ... Found inside – Page 154Choplin, R., Boehme, J., Maynard, C.: Picture archiving and communication ... F., Kohnen, M.: Content-based image retrieval in medical applications: a novel ... Found inside – Page 4In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 27–35 1 de Bruijn, W., Lew, ... Found inside – Page 227IR techniques generally deal with the retrieval of medical text and images. The main challenge in medical text retrieval is with the ambiguity and ... Found inside – Page 350350 image searching image searching In library cataloging, the bibliographic record is designed to indicate whether an item contains illustrations, ... Found inside – Page 25Assume on the contrary that in the time period [T0 ,T0 + Δu] agent u does not start a new DFS search. However, the current DFS search can take at most Δu ... Ilana Lowy follows the disease from antiquity to the 21st century, focussing on the period since the mid-19th century, during which cervical cancer was dissociated from other gynaecological disorders and became a distinct entity. Found inside – Page 63Progressive search and retrieval in large image archives. IBM J. Res. Develop., 42(2), 253-268. ... Multimedia systems and content-based image retrieval. Found inside – Page 193The researchers noted when a new search was initiated, which searches were successful (i.e., they retrieved one or more images), the number of terms in each ... Found inside – Page 73Mukherjea, S., Hirata, K., Hara, Y.: Using clustering and visualization for refining the results of a WWW image search engine. In: Proceedings of the 1998 ... Found inside – Page 87It is already an established fact that information retrieval is of two types, image retrieval, and text retrieval. Image retrieval is further divided into a ... Found inside – Page 79This gives a clearer picture of usage that may be used to plan future information services . ... mining ) , utilizing the power of commercial search engines and drawing upon the information science fields of bibliometrics and webometrics . Found inside – Page 75This approach is defined as image search, and also referred to as reverse image search [13]. 1.1 The Idea of Image Retrieval Systems Image retrieval systems ... Found inside – Page 307J. R. Bach , C. Fuller , A. Gupta , A Hampapur , B. Horowitz , R. Humphreym , and R. Jain , “ The Virage Image Search Engine : An Open Framework for Image ... The success and the future of visual information retrieval depends on the cutting edge research and applications explored in this book. It combines the expertise from both computer vision and database research. Found inside – Page 228It was towards this latter pole that the image retrieval research community increasingly turned their attention. Whereas earlier user studies involved the ... Found insidePresenting an empiricist alternative to both logical positivism and scientific realism, this book insists on a literal understanding of the language of science and on an irreducibly pragmatic dimension of theory acceptance. Found inside – Page 394The following experiments were conducted to investigate whether the image retrieval method using feature quantities can be used for image acquisition. Found inside – Page 289The retrieval of images from the Web has received a lot of attention recently. Most of the early systems have employed text based approach, which exploits ... Found inside – Page 3PageRank [ 6 ] and Hyperlink - Induced Topic Search ( HITS ) ( 22 ) apply this approach to find pertinent web pages . ... Zhang and Dong [ 48 ] developed a Chinese image search engine named eeFind by using Matrix Analysis on Search ... Found inside – Page 74Support vector machine active learning for image retrieval[J]. 2015. [11] Liu F, Lin G, Shen C. Indexing of CNN Features for Large Scale Image Search[J]. Found inside – Page 243Keywords: Scientific image search · Text annotation Wikipedia categories 1 Introduction In order to increase the reuse of scientific images from open access ... Found inside – Page xxi[Image-search keywords: land-yacht, 1500s, Simon Stevin.] ... Scientific accuracy in representation: co-ordination of size, distance, and movement. This is the first approach to analyze search engines exclusively addressed to the research community in an integrative handbook. Found inside – Page 549Balance between Diversity and Relevance for Image Search Results Zhong Ji1,2, Jing Li, Yuting Su, Yuqing He, and Yanwei Pang 1School of Electronic ... Found inside – Page 37Image and Video Retrieval : Proceedings of the Second International Conference ( Lecture Notes in Computer Science , 2728 ) , 281-290 . Found inside – Page 218Detect. Locate; identify; signal. Image. Display and/or record thermal picture. Search. Determine range; track; control moving object. Range of Wavelengths. Found inside – Page 186Energy Efficient Content Based Image Retrieval Recommender System in Mobile Cloud Rajalakshmi Krishnamurthi(&) and Mukta Goyal Department of Computer ... Found inside – Page 164Image. Search. Results. Using. Photo. Metadata. and. Low-Level. Image ... clustering method in order to effectively present image search results on the Web. Found inside – Page 767Karthik, P.S., Jawahar, C.V.: Analysis of relevance feedback in content based image retrieval. In: 9th International Conference on Control, Automation, ... An up-to-date, expert guide to modern digital image databases This volume presents the state of the art in digital image database design, with a concentration on storage and retrieval techniques, and includes a set of selected application ... Found inside – Page 489The problem of clustering such uploaded images (question 2) is closely related to the problem of grouping web image search results, a currently intensively ... Found inside – Page 905Following the trend of modern image retrieval to- wards concept-based image search, the AHDH algo- rithm is used in a concept-based patent search frame- ... Found inside – Page 28Galison concludes that there is something illusory about the whole struggle: At the heart of the scientific image is the search for rules: at the heart of ... Found inside – Page 57There are several algorithms for an image content retrieval for generating description inside an image [4–6]. For example, Socher et al. Found inside – Page 5In International Conference on Image and Video Retrieval, pages 418–427. Lecture Notes in Computer Science, vol. 2728, Springer, 2003. Found inside – Page 240Hashing methods play an important role in large-scale image retrieval, and have been widely applied due to fast approximate nearest neighbor search and ... Found inside – Page 82to the public visual aspects of science that scientists think are either ... Even then, using the Google image search tool with science-related search terms ... Found inside – Page 475An essential processing of a similar retrieval by preprocessing in image database is a search for the nearest neighbor ranking image data nearest to a query ... Found inside – Page 535 Conclusion This research proposes an image retrieval model, namely MKSIFT-Deep RNN for retrieving the relevant image from the medical image database. Found inside – Page 614on the images' ranking order and visual content. We validate our approach with a large-scale dataset that contains the image search results of 1, ... To as reverse image search, and also referred to as reverse search... 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