Principal Component Analysis for Content-based Image Retrieval
نویسندگان
چکیده
منابع مشابه
Principal Component Multi Linear Analysis for Content Based Image Retrieval
In the process of content based Image retrieval (CBIR), image information is presented in descriptive features to obtain retrieval of image information. In the representation of descriptive features a large feature count is observed, which results in the overhead in processing. To reduce these descriptive features different dimensional reduction logic were used in which PCA is the most commonly...
متن کاملContent-Based Image Retrieval for Content Analysis
O video repositories are becoming more common as we enter the era of digital video. As the number, size, and accessibility of digital video repositories grows, so does the need for video storage and retrieval systems. Television news and entertainment operations in particular find themselves in need of solutions for storing and retrieving large amounts of digital video. The dilemma of what is o...
متن کاملContent-based Image Retrieval Using Constrained Independent Component Analysis: Facial Image Retrieval Based on Compound Queries
Visual information plays a crucial role in various domains, from medical diagnosis, journalism, crime-prevention to surveillance. Whereas domain specific images carry specific semantics, the problem of interpreting visual information becomes more complex when we talk of natural images. The maxim, 'A picture is worth a thousand words' explains this inherent problem very concisely. Indexing large...
متن کاملContent-based Image Retrieval Content-based Image Retrieval
Sensing and processing multimedia information is one of the basic traits of human beings: The audiovisual system registers and transports surrounding images and sounds. This complex re-cording system, complemented by the senses of touch, taste, and smell, enables perception and provides humans with data for analysing and interpreting the environment. Imitating this perception and the simulation...
متن کاملContent-Based Image Retrieval for Medical Image Analysis
The growing repositories of clinical imaging data generate a need for effective image management and access that demands more than simple text-based queries. Content-Based Image Retrieval (CBIR) is an active research field and has drawn attention in recent years. It is a technique to organize and search image archives by their visual content. It is a multi-discipline field that integrates techn...
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: RadioGraphics
سال: 2002
ISSN: 0271-5333,1527-1323
DOI: 10.1148/radiographics.22.5.g02se021271