INTRODUCTION: The quantity of audio and visual data is increasing exponentially due to the internet's rapid growth. digital information in images videos could be used for fully automated captions, indexing, image structuring. online video system

We present a constraint adaptive image segmentation technique designed to achieve the combined purposes of color image coding/compression, indexing and content-based retrieval. An image is segmented into homogeneous squared regions of variable sizes such that it can be encoded very emciently [7]. From the segmented image, we derive an effective and efficient image content description feature te...

This study presents a robust indexing and retrieval scheme for digital photos with speech annotations based on the syllable-transformed patterns. In speech retrieval application, out-of-vocabulary and recognition error problems are generally prone to incorrect transcription and therefore degrade the retrieval performance. In this study, the recognized n-best syllable candidates for each syllabl...

Content based image indexing is emerging as an important research area with application to digital libraries and mu ltimedia databases. A majority of indexing techniques is based on pixel domain feature such as histogram, color, texture, and shape. However, with recent advances in image compression, compressed domain indexing techniques are gaining popularity due to their low complexity. Recent...

Content-based image indexing and retrieval have become important research problems with the use of large databases in a wide range of areas. In this study, a content-based image retrieval system that is based on scene classification for image indexing is proposed. Instead of using low-level features directly, semantic class information that is obtained as a result of scene classification is use...

In this paper we propose a method for automatic color extraction and indexing to support color queries of image and video databases. This approach identifies the regions within images that contain colors from predetermined color sets. By searching over a large number of color sets, a color index for the database is created in a fashion similar to that for file inversion. This allows very fast i...

With the recent increase in the number of news videos and in their value, their automatic indexing has been anticipated. Among various proposals for this problem, the use of textual data has been actively considered, and some applications of this type have actually been developed. Nonetheless, most of these approaches are textual data oriented, and a few of them consider the correspondences bet...

Convolutional neural network (CNN) features which represent images with global and high-dimensional vectors have shown highly discriminative capability in image search. Although CNN features are more compact than local descriptors, they still cannot efficiently deal with the large-scale image search issue due to its non-negligible computational and storage cost. In this paper, we propose a simp...

Automatic indexing of video data, especially news videos, is in strong demand considering their contents' importance and value. Various attempts have been made to index news videos automatically in order to cope with this demand, including recent challenges that utilize accompanying textual information. However, most of these methods tend to be textual information driven, which do not thoroughl...

The number of digital images is rapidly increasing, prompting the necessity for efficient image storage and retrieval systems. The management and the indexing of these large image and information repositories are becoming increasingly complex. Therefore, tools for efficient archiving, browsing and searching images are required. A straightforward way of using the existing information retrieval t...