Document Image Retrieval: An Overview - Semantic Scholar.
SURVEY ON FACE IMAGE RETRIEVAL B. Tamil Selvi, R.Aghila. Abstract--Face image retrieval, a technique which searches a set of faces from the large scale database based on user’s query. It is an enabling technology used in many recent application such as face verification, crime investigation etc., however it is still a challenging problem because of similarities between images, irrelevant.
To carry out its management and retrieval, Content-Based Image Retrieval (CBIR) is an effective method. This paper shows the advantage of content-based image retrieval system, as well as key.
Energy Compaction and Image Splitting for Image Retrieval using Kekre Transform over Row and Column Feature Vectors Fuzzy color and texture histogram-a low level feature for accurate image retrieval Image retrieval with relevance feedback based on graph-theoretic region correspondence estimation.
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In this paper, we present an up-to-date review of various content-based image retrieval systems. Since the volume of literature available in the field is enormous, only selected works are mentioned.
Cross-View Image Retrieval -- Ground to Aerial Image Retrieval through Deep Learning. 2 May 2020. To train, compare, and evaluate the performance of cross-view image retrieval, we present a new 6 class cross-view image dataset termed as CrossViewRet which comprises of images including freeway, mountain, palace, river, ship, and stadium with 700 high-resolution dual-view images for each class.
Recent Advance in Content-based Image Retrieval: A Literature Survey Wengang Zhou, Houqiang Li, and Qi Tian Fellow, IEEE Abstract—The explosive increase and ubiquitous accessibility of visual data on the Web have led to the prosperity of research activity in image search or retrieval. With the ignorance of visual content as a ranking clue, methods with text search techniques for visual.