International Journal of Multimedia Information Retrieval

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Color-independent classification of animation video
International Journal of Multimedia Information Retrieval - Tập 7 - Trang 187-196 - 2018
Raphaël Zumer, Sylvie Ratté
This paper presents a method for the classification of animated video that does not rely on hue or saturation information, and aims to achieve a high level of performance in the context of automatic video categorization and encoder parameterization for low bit rate video processing. While existing animated and genre-based video classification approaches have achieved good results, they are highly ... hiện toàn bộ
Kỹ thuật Bundle min-Hashing Dịch bởi AI
International Journal of Multimedia Information Retrieval - Tập 2 - Trang 243-259 - 2013
Stefan Romberg, Rainer Lienhart
Chúng tôi trình bày một kỹ thuật gộp đặc trưng dựa trên phương pháp min-Hashing. Các đặc trưng cục bộ riêng lẻ được tổng hợp với các đặc trưng từ hàng xóm không gian của chúng thành các gói. Những gói này mang theo nhiều thông tin hình ảnh hơn so với từng từ hình ảnh riêng lẻ. Việc nhận diện logo trong các bức ảnh mới sau đó được thực hiện bằng cách truy vấn vào cơ sở dữ liệu các bức ảnh tham chiế... hiện toàn bộ
#min-Hashing #gộp đặc trưng #nhận diện logo #truy xuất đối tượng #ransac #hồi phục
A novel approach for shape-based object recognition with curvelet transform
International Journal of Multimedia Information Retrieval - Tập 5 - Trang 219-228 - 2016
M. Radhika Mani, D. M. Potukuchi, Ch. Satyanarayana
In this work, we revisit multi-resolution analysis (MRA) methods for object recognition. We find an optimal sparse representation of an image using a second-generation Fast Discrete Curvelet Transform (FDCT) and present a novel curvelet approach based on thin plate splines (TPS). Measurement of local deformation at each FDCT coefficient is detailed. Specific deformations in the TPS-based curve-let... hiện toàn bộ
Exploiting contextual information for image re-ranking and rank aggregation
International Journal of Multimedia Information Retrieval - Tập 1 - Trang 115-128 - 2012
Daniel Carlos Guimarães Pedronette, Ricardo da S. Torres
Content-based image retrieval (CBIR) systems aim to retrieve the most similar images in a collection, given a query image. Since users are interested in the returned images placed at the first positions of ranked lists (which usually are the most relevant ones), the effectiveness of these systems is very dependent on the accuracy of ranking approaches. This paper presents a novel re-ranking algori... hiện toàn bộ
RGBD deep multi-scale network for background subtraction
International Journal of Multimedia Information Retrieval - Tập 11 Số 3 - Trang 395-407 - 2022
Ihssane Houhou, Athmane Zitouni, Yassine Ruichek, Salah Eddine Bekhouche, Mohamed Kas, Abdelmalik Taleb-Ahmed
DELIGHT-Net: DEep and LIGHTweight network to segment Indian text at word level from wild scenic images
International Journal of Multimedia Information Retrieval - Tập 12 - Trang 1-18 - 2023
Shilpa Mahajan, Rajneesh Rani, Karan Trehan
The recognition and detection of multioriented text from textual natural scene images are still challenging in the computer vision community. The segmentation on either word level or character level is a vital step in the entire end-to-end performance of the scene text recognition system. Many academicians and researchers have done work in the prominent field of segmenting the words or characters ... hiện toàn bộ
Optimization of information retrieval for cross media contents in a best practice network
International Journal of Multimedia Information Retrieval - Tập 3 Số 3 - Trang 147-159 - 2014
Pierfrancesco Bellini, Daniele Cenni, Paolo Nesi
Statistical framework for content-based medical image retrieval based on wavelet orthogonal polynomial model with multiresolution structure
International Journal of Multimedia Information Retrieval - Tập 3 - Trang 53-66 - 2013
K. Seetharaman, M. Kamarasan
This paper proposes wavelet based orthogonal polynomial coefficients model for content based image retrieval (CBIR). The coefficients are categorized into low-frequency and high-frequency based on a criteria. The criteria is adaptively determined and fixed according to the nature and structure of the image, because the wavelet based orthogonal polynomial model spatially localizes the frequency inf... hiện toàn bộ
An incremental evolutionary learning method for optimizing content-based image indexing algorithms
International Journal of Multimedia Information Retrieval - Tập 3 - Trang 41-52 - 2013
M. Nikzad, H. Abrishami Moghaddam
One of the future directions of content-based image retrieval (CBIR) systems is incremental learning of indexing and retrieval algorithms. Optimization of the indexing algorithm is more difficult compared to the retrieval algorithm enhancement; since each time the indexing algorithm parameters are modified, all images of the reference database should be indexed again. This paper considers, for the... hiện toàn bộ
Exploiting semantics on external resources to gather visual examples for video retrieval
International Journal of Multimedia Information Retrieval - Tập 2 - Trang 117-130 - 2012
David Vallet, Iván Cantador, Joemon M. Jose
With the huge and ever rising amount of video content available on the Web, there is a need to facilitate video retrieval functionalities on very large collections. Most of the current Web video retrieval systems rely on manual textual annotations to provide keyword-based search interfaces. These systems have to face the problems that users are often reticent to provide annotations, and that the q... hiện toàn bộ
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