|
|
|
|
|
DaYou Jiang and Jongweon Kim
This paper presents a new content-based image retrieval (CBIR) method based on image feature fusion. The deep features are extracted from object-centric and place-centric deep networks. The discrete cosine transform (DCT) solves the strong correlation of...
ver más
|
|
|
|
|
|
|
|
|
Dinesh Nagumothu, Peter W. Eklund, Bahadorreza Ofoghi and Mohamed Reda Bouadjenek
Standardized approaches to relevance classification in information retrieval use generative statistical models to identify the presence or absence of certain topics that might make a document relevant to the searcher. These approaches have been used to b...
ver más
|
|
|
|
|
|
|
|
|
Jose Aguilar, Camilo Salazar, Henry Velasco, Julian Monsalve-Pulido and Edwin Montoya
This paper analyses the capabilities of different techniques to build a semantic representation of educational digital resources. Educational digital resources are modeled using the Learning Object Metadata (LOM) standard, and these semantic representati...
ver más
|
|
|
|
|
|
|
|
|
Alan López-Martínez and Francisco Javier Cuevas
In computer vision, estimating geometric relations between two different views of the same scene has great importance due to its applications in 3D reconstruction, object recognition and digitization, image registration, pose retrieval, visual tracking a...
ver más
|
|
|
|
|
|
|
|
|
Anam Manzoor, Waqar Ahmad, Muhammad Ehatisham-ul-Haq, Abdul Hannan, Muhammad Asif Khan, M. Usman Ashraf, Ahmed M. Alghamdi and Ahmed S. Alfakeeh
Emotions are a fundamental part of human behavior and can be stimulated in numerous ways. In real-life, we come across different types of objects such as cake, crab, television, trees, etc., in our routine life, which may excite certain emotions. Likewis...
ver más
|
|
|
|