Effective Search of Color-Spatial Image Using Semantic Indexing
نویسندگان
چکیده
منابع مشابه
Color-spatial Image Indexing and Applications
We propose a new image feature called the color correlogram as a generic color-spatial indexing tool to tackle various problems that arise in content-based image retrieval and video browsing. Informally speaking, a correlogram represents the spatial correlation of colors in an image. While the computing and storage costs of correlograms match those of histograms, the presence of spatial informa...
متن کاملImage Indexing Using Color Correlograms
We define a new image feature called the color correlogram and use it for image indexing and comparison. This feature distills the spatial correlation of colors, and is both effective and inexpensive for content-based image retrieval. The correlogramrobustly tolerates large changes in appearance and shape caused by changes in viewing positions, camera zooms, etc. Experimental evidence suggests ...
متن کاملColor image indexing using BTC
This paper presents a new application of a well-studied image coding technique, namely block truncation coding (BTC). It is shown that BTC can not only be used for compressing color images, it can also be conveniently used for content-based image retrieval from image databases. From the BTC compressed stream (without performing decoding), we derive two image content description features, one te...
متن کاملSpatial Color Indexing Using Data Clustering Technique
This paper presents an efficient spatial indexing technique for content-based image retrieval. Spatial index is generated based upon a fast and robust clustering technique, which can recognize color clusters of any shape. It also exploits entropy measure to decide whether quantization is needed before clustering. Based on experimentation, the performance of the new indexing technique has been f...
متن کاملImage Indexing Using Weighted Color Histogram
Image indexing is the process of image retrieval from databases of images or videos based on their contents. Specifically, histogram-based algorithms are considered to be effective for color image indexing. We suggest a new method of color space quantization in the CIELUV color space, named weighted LUV quantization. With this method, each bin in the LUV space has a different weighting factor, ...
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 Computer Science, Engineering and Applications
سال: 2012
ISSN: 2231-0088
DOI: 10.5121/ijcsea.2012.2411