Affinity Hybrid Tree: An Indexing Technique for Content-Based Image Retrieval in Multimedia Databases

Chatterjee, Kasturi; Chen, Shu‐Ching

doi:10.1109/ism.2006.21

Cited by 15 publications

(40 citation statements)

References 13 publications

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“…We proposed several multimedia index structure for different multimedia data types including images, and videos in our previous works [4][5] [6]. [4] discusses a multidimensional index structure designed to handle images.…”

Section: Replicated Multidimensional Index Structurementioning

confidence: 99%

“…[4] discusses a multidimensional index structure designed to handle images. [5] extends the idea to a hierarchical index structure, supporting video data objects.…”

Section: Replicated Multidimensional Index Structurementioning

confidence: 99%

“…Additionally, it has the capability to be extended to support other forms of multimedia data such as documents. [4][5] and [6] support the popular multimedia data retrieval strategy based on content without violating the underlying indexed space. Basically, the k-NN algorithm, which is the standard similarity search algorithm for tree-based indexes, is customized to support the content-based retrievals while considering the high-level semantic relationships among the data objects.…”

Section: Replicated Multidimensional Index Structurementioning

confidence: 99%

“…Basically, the k-NN algorithm, which is the standard similarity search algorithm for tree-based indexes, is customized to support the content-based retrievals while considering the high-level semantic relationships among the data objects. In this chapter, we extend the multidimensional index structure for images, called Affinity Hybrid Tree (AH-Tree) [4] and incorporate it into the proposed multimedia database management framework in a Grid environment. We chose AH-Tree as we wanted to use images as the test bed for developing and testing the initial framework of the distributed multimedia database.…”

Section: Replicated Multidimensional Index Structurementioning

confidence: 99%

“…Though there are numerous multidimensional index structures such as those in [8] [3] that can handle the multidimensional aspect of the multimedia data but they lack the capability to handle the high-level semantic relationships efficiently. In our earlier works, we proposed multidimensional index structures including AH-Tree [4], HAH-Tree [5] and GeM-Tree [6] designed for efficient management of multimedia data comprising of images and videos. In this chapter, we extend the usability of multimedia index structures in a distributed Grid environment.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Distributed Multimedia Data Management over the Grid

Chatterjee

Sadjadi

Chen

2010

Multimedia Services in Intelligent Environments

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In this chapter, we propose a distributed multimedia data management architecture, which can efficiently store and retrieve multimedia data across several nodes of a Grid environment. The main components of the proposed system comprises of a distributed multidimensional index structure, a distributed query manager handling content-based information retrievals and a load balancing technology. The proposed distributed query manager embeds the high-level semantic relationships among the multimedia data objects into the k-NN based similarity search, thus bridging the semantic gap and increasing the relevance of query results manifold. This research has two major usabilities. First, it models a web environment where each node of the Grid can be considered as the nodes or sources of data in the world-wide-web. This should help to investigate and understand the challenges and requirements of future search paradigms based on content of multimedia data rather than on text annotations, as used currently. Second, it provides the foundation to develop content-based information retrievals as a possible Grid service. Extensive experiments were conducted with varied data sizes and different number of distribution nodes. Encouraging results are obtained that makes this endeavor a potential architecture to manage complex multimedia data over a distributed environment.

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Section: Replicated Multidimensional Index Structurementioning

confidence: 99%

“…[4] discusses a multidimensional index structure designed to handle images. [5] extends the idea to a hierarchical index structure, supporting video data objects.…”

Section: Replicated Multidimensional Index Structurementioning

confidence: 99%