Intelligent multimedia databases and information retrieval: by Li Yan, Zongmin Ma

By Li Yan, Zongmin Ma

As buyer expenditures for multimedia units resembling electronic cameras and net telephones have lowered and variety out there has skyrocketed, the volume of electronic details has grown considerably.
Intelligent Multimedia Databases and data Retrieval: Advancing functions and Technologies info the newest details retrieval applied sciences and purposes, the examine surrounding the sphere, and the methodologies and layout concerning multimedia databases. including educational researchers and builders from either details retrieval and synthetic intelligence fields, this ebook info matters and semantics of knowledge retrieval with contributions from all over the world. because the details and information from multimedia databases maintains to extend, the learn and documentation surrounding it may retain velocity as most sensible as attainable, and this e-book presents a very good source for the most recent advancements.

Show description

Read Online or Download Intelligent multimedia databases and information retrieval: advancing applications and technologies PDF

Similar data mining books

Mining of Massive Datasets

The recognition of the internet and web trade presents many tremendous huge datasets from which info should be gleaned by means of info mining. This ebook makes a speciality of functional algorithms which were used to unravel key difficulties in information mining and that are used on even the biggest datasets. It starts with a dialogue of the map-reduce framework, a big instrument for parallelizing algorithms immediately.

Twitter Data Analytics (SpringerBriefs in Computer Science)

This short offers equipment for harnessing Twitter info to find ideas to complicated inquiries. The short introduces the method of gathering information via Twitter’s APIs and provides suggestions for curating huge datasets. The textual content provides examples of Twitter info with real-world examples, the current demanding situations and complexities of creating visible analytic instruments, and the simplest ideas to handle those matters.

Advances in Natural Language Processing: 9th International Conference on NLP, PolTAL 2014, Warsaw, Poland, September 17-19, 2014. Proceedings

This publication constitutes the refereed lawsuits of the ninth foreign convention on Advances in traditional Language Processing, PolTAL 2014, Warsaw, Poland, in September 2014. The 27 revised complete papers and 20 revised brief papers provided have been rigorously reviewed and chosen from eighty three submissions. The papers are prepared in topical sections on morphology, named entity reputation, time period extraction; lexical semantics; sentence point syntax, semantics, and desktop translation; discourse, coreference solution, automated summarization, and query answering; textual content type, info extraction and data retrieval; and speech processing, language modelling, and spell- and grammar-checking.

Analysis of Large and Complex Data

This publication bargains a picture of the state of the art in class on the interface among records, desktop technology and alertness fields. The contributions span a extensive spectrum, from theoretical advancements to functional functions; all of them proportion a powerful computational part. the subjects addressed are from the subsequent fields: information and knowledge research; computing device studying and information Discovery; facts research in advertising and marketing; facts research in Finance and Economics; facts research in drugs and the existence Sciences; information research within the Social, Behavioural, and overall healthiness Care Sciences; info research in Interdisciplinary domain names; class and topic Indexing in Library and knowledge technology.

Additional resources for Intelligent multimedia databases and information retrieval: advancing applications and technologies

Example text

Zayane, O. , & Tauber, Z. (1999). Illumination invariance and object model in contentbased image and video retrieval. Journal of Visual Communication and Image Representation, 10, 219–244. 0403 Manjunath, B. , Ohm, J. , Vasudevan, V. , & Yamada, A. (2001). Color and texture descriptors. Transactions on Circuits and Systems for Video Technology, 11(6), 703–715. , & Kumar, S. R. (1997). Combining supervised learning with color correlograms for content-based image retrieval. Proceedings of Fifth ACM Multimedia Conference.

Performance Evaluation Approach To analyze the performance of system using the texture and shape features, retrieval precision and recall are introduced (Zhang et al, 2007). Suppose that N denotes the number of retrieved images at a time, N′ denotes the number of retrieved relevant images at a time, N′′ denotes the number of relevant images in an image database, then retrieval precision P and recall R can be denoted as respectively P = N′ / N and R = N′ / N′′ (21) EXPERIMENTS AND ANALYSES Works are carried out from three aspects.

Suppose that f (x, y) denotes a gray image of size M × N. After having been transformed into 34 The first Fourier transform coefficient a0 is used to normalize all the Fourier transform coefficients. Then the phase information is ignored and magnitudes are kept in the coefficients. Suppose that bn denotes the normalized Fourier transform coefficients whose phase information has been ignored, then bn can be denoted as bn = | an / a0 | (11) Approach of Using Texture and Shape for Image Retrieval Here bn (n = 1, …, PN-1) are invariant to translation, scale, rotation, and change of initial point.

Download PDF sample

Rated 4.93 of 5 – based on 49 votes