Discovering Robustness Amongst CBIR Features
نویسندگان
چکیده
منابع مشابه
Discovering Robustness Amongst CBIR Features
Digital photography faces the challenges of image storage, retrieval and provenance at the consumer and commercial level. One major obstacle is in the computational cost of image processing. Solutions range from using high-throughput computing systems to automatic image annotation. Consumers can not dedicate computing systems to image processing and handling nor do consumers have large-scale im...
متن کاملCBIR with Perceptual Region Features
A perceptual approach to generating features for use in indexing and retrieving images is described. Salient regions that immediately attract the eye are colour (textured) regions that usually dominate an image. Features derived from these will allow search for images that are similar perceptually. We compute colour features and Gabor colour texture features on regions identified from a coarse ...
متن کاملIntegration of Color and Texture Features in CBIR System
Nowadays, rapid and effective searching for relevant images in large image databases has become an area of wide interest in many applications. The current image retrieval system is based on text-based approaches. This system has many challenges such as it cannot retrieve images that are context sensitive and the amount of effort required to manually annotate every image, as well as the differen...
متن کاملCBIR Efficiency Enhancement using Local Features Algorithm with Hausdorff Distance
The paper below discusses the pros and cons of the local and global features in CBIR. To this end, four CBIR algorithms are designed and studied in terms of effectiveness. Two of them are based on local features extraction and the similarity is computed through Hausdorff distance or Euclidean distance respectively. The rest of the algorithms use global features extraction and the same two simil...
متن کاملCBIR: From Low-Level Features to High-Level Semantics
The performance of a content-based image retrieval (CBIR) system is inherently constrained by the features adopted to represent the images in the database. Use of low-level features can not give satisfactory retrieval results in many cases; especially when the high-level concepts in the user’s mind is not easily expressible in terms of the low-level features. Therefore whenever possible, textua...
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: International journal of Web & Semantic Technology
سال: 2012
ISSN: 0976-2280
DOI: 10.5121/ijwest.2012.3202