Efficient loose image content classifier
نویسندگان
چکیده
منابع مشابه
An Efficient Content based Image Retrieval Scheme
Due to the recent improvements in digital photography and storage capacity, storing large amounts of images has been made possible. Consequently efficient means to retrieve images matching a user’s query are needed. In this paper, we propose a framework based on a bipartite graph model (BGM) for semantic image retrieval. BGM is a scalable data structure that aids semantic indexing in an efficie...
متن کاملEfficient content-based P2P image retrieval using peer content descriptions
Peer-to-peer (P2P) networks are overlay networks that connect independent computers (also called nodes or peers). In contrast to client/server solutions, all nodes offer and request services from other peers in a P2P network. P2P networks are very attractive in that they harness the computing power of many common desktop machines and necessitate little administrative overhead. While the resulti...
متن کاملEfficient Content-Based and Metadata Retrieval in Image Database
Managing image data in a database system using metadata has been practiced since the last two decades. However, describing an image fully and adequately with metadata is practically not possible. The other alternative is describing image content by its low-level features such as color, texture, shape, etc. and using the same for similarity-based image retrieval. However, practice has shown that...
متن کاملAn efficient content based image retrieval using advanced filter approaches
In general the users are in need to retrieve images from a collection of database images from variety of domains. In earlier phase this need was satisfied by retrieving the relevant images from different database simply. Where there is a bottleneck that the images retrieved was not relevant much to the user query because the images were not retrieved based on content where another drawback is t...
متن کاملEfficient Content Based Image Retrieval Using Color and Texture
Image classification is perhaps the most important part of digital image analysis. Retrieval patternbased learning is the most effective that aim to establish the relationship between the current and previous query sessions by analyzing image retrieval patterns. We propose a new feedback based and content based image retrieval system. Content based image retrieval from large resources has becom...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Electronics Letters
سال: 2019
ISSN: 0013-5194,1350-911X
DOI: 10.1049/el.2019.1636