By Yihong Gong
Intelligent picture Databases: in the direction of complex photograph Retrieval addresses the picture function choice factor in constructing content-based photograph retrieval structures. The booklet first discusses the 4 very important concerns in constructing an entire content-based picture retrieval method, after which demonstrates that picture function choice has major impression at the final problems with method layout. subsequent, it provides an in-depth literature survey on common snapshot beneficial properties explored by means of modern content-based snapshot retrieval structures for picture matching and retrieval reasons. The aim of the survey is to figure out the features and the effectiveness of person beneficial properties, with a view to identify instructions for destiny improvement of content-based picture retrieval platforms.
Intelligent photo Databases: in the direction of complex snapshot Retrieval describes the complicated Region-Based snapshot Retrieval method (ARBIRS) constructed through the authors for colour photographs of real-world scenes. they've got chosen picture areas for construction ARBIRS because the literature survey means that trendy picture areas, besides their linked positive factors, supply a better chance for attaining the next point content-based picture retrieval procedure. a tremendous problem in construction a region-based snapshot retrieval approach is that admired areas are fairly tricky to seize in a correct and error-free situation, relatively these in pictures of real-world scenes. to satisfy this problem, the ebook proposes an built-in method of take on the matter through function shooting, function indexing, and database question. via complete method evaluate, it truly is proven how those systematically built-in efforts paintings successfully to complete complex picture retrieval.
Intelligent photo Databases: in the direction of complicated photo Retrieval serves as a great reference and will be used as a textual content for complicated classes at the topic.
Read Online or Download Intelligent Image Databases: Towards Advanced Image Retrieval PDF
Similar storage & retrieval books
This ebook constitutes the lawsuits of the second one foreign convention on Networked electronic applied sciences, held in Prague, Czech Republic, in July 2010.
The our on-line world instruction manual is a entire advisor to all facets of latest media, info applied sciences and the web. It offers an outline of the industrial, political, social and cultural contexts of our on-line world, and gives useful suggestion on utilizing new applied sciences for learn, verbal exchange and book.
This booklet explores multimedia functions that emerged from desktop imaginative and prescient and computing device studying applied sciences. those state of the art functions comprise MPEG-7, interactive multimedia retrieval, multimodal fusion, annotation, and database re-ranking. The application-oriented procedure maximizes reader realizing of this advanced box.
This scenario-focused name offers concise technical information and insights for troubleshooting and optimizing garage with Hyper-V. Written via skilled virtualization execs, this little publication packs loads of worth right into a few pages, supplying a lean learn with plenty of real-world insights and most sensible practices for Hyper-V garage optimization.
- Data Management and Query Processing in Semantic Web Databases
- Developing an Infrastructure for Mobile and Wireless Systems: NSF Workshop IMWS 2001 Scottsdale, AZ, October 15, 2001 Revised Papers
- Data Mining for Association Rules and Sequential Patterns: Sequential and Parallel Algorithms
- Googlepedia: The Ultimate Google Resource
- Mosaic™ for Windows®: A hands-on configuration and set-up guide to popular Web browsers
- Modern Database Management
Extra resources for Intelligent Image Databases: Towards Advanced Image Retrieval
3. If T is a non-leaf node, then for each (region, np) pair in T that satisfies region n Q =I 0, set T = np, and recurse from Step 2. In forming a range query Q, it is possible that some intervals Ii take full ranges while others Ij take point values. If all of the intervals are points, the query becomes an exact match query. 2 Insertion The algorithm for inserting a record (point, dp) is as follows: 1. If the KDB-Tree is empty, create a leaf node containing (point, dp); terminate. 2. Otherwise, do an exact match query on point, which finds a leaf node P that (point, dp) should be inserted.
The contours indicate the half-peak magnitude of the filter responses. 24 ) are the standard deviation of the respective features over the entire database, and are used to normalize the individual feature components. 2 a:(CTmn ) The QBIC System The QBIC system adopts a different texture model for image retrieval. It's features are as follows: 1. Three heuristic texture descriptors, the coarseness, contrast, and directionality, are adopted to represent texture patterns. 2. The similarity metric is defined as the weighted L2 distance between a pair of feature sets.
There are two advantages to using minimum bounding spheres in tree nodes. First, with a data space of dimension d, storing a sphere requires d + 1 memory units (the centroid point and the radius), while storing a rectangle requires 2d memory units (the lower end and the upper end of the rectangle along each axis). As spheres INDEXING STRUCTURES FOR IMAGE DATABASES 53 require a much smaller storage space than rectangles, the SS-Tree can have a larger branching factor than both the R-Tree and the R*-Tree, resulting in a tree with a lower height.