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The paper analyzes the interests of users in viewing and organizing consumer videos. It proposes a taxonomy of relevant concepts with three basic dimensions of interests (DOIs) and effective models to predict the user interests in each dimension. The three DOIs correspond to the objects, the scenes and the events. Our conclusions are backed with an extensive study, in which users were asked to ann...Show More
In this paper, we present the multimedia description scheme tools specified by the MPEG-7 standard for describing multimedia data such as images and video. In particular, we focus on the description tools that represent the structure and semantics of multimedia data to whose development we have actively contributed. We also describe some of our research prototype systems dealing with the extractio...Show More
This paper presents novel methods for classifying images based on knowledge discovered from annotated images using WordNet. The novelty of this work is the automatic class discovery and the classifier combination using the extracted knowledge. The extracted knowledge is a network of concepts (e.g., image clusters and word-senses) with associated image and text examples. Concepts that are similar s...Show More
In this paper, we present the tools standardized by MPEG-7 for describing the semantics of multimedia. In particular, we focus on the abstraction model, entities, attributes and relations of MPEG-7 semantic descriptions. MPEG-7 tools can describe the semantics of specific instances of multimedia such as one image or one video segment but can also generalize these descriptions either to multiple in...Show More
This paper presents new methods for extracting semantic knowledge from collections of annotated images. The proposed methods include novel automatic techniques for extracting semantic concepts by disambiguating the senses of words in annotations using the lexical database WordNet, using both the images and their annotations, and for discovering semantic relations among the detected concepts based ...Show More
This paper presents and evaluates new methods for extracting perceptual knowledge from collections of annotated images. The proposed methods include automatic techniques for constructing perceptual concepts by clustering the images based on visual and text feature descriptors, and for discovering perceptual relationships among the concepts based on descriptor similarity and statistics between the ...Show More
We present techniques to semi-automatically discover recurrent visual semantics (RVS)-the repetitive appearance of visually similar elements such as objects and scenes-in consumer photographs. First, we introduce the detection of "bracketing" (very similar photographs) using an edge-correlation metric, which outperforms the color histogram. Then, we use color and novel composition features (based ...Show More
The explosive growth of applications involving digital audio-visual material is driving the need for more rich content description. The authors present a design process for audio-visual content description. The process involves constructing a conceptual model in which entities, attributes and relationships important for content description are identified and modeled. The procedure provides special...Show More
We have contributed to the development and validation of several description schemes for multimedia content, which have been integrated into the emerging MPEG-7 standard. This paper includes summaries of the validation experiments of these description schemes.Show More
MetaSeek is an image metasearch engine developed to explore the querying of large, distributed, online visual information systems. The current implementation integrates user feedback into a performance-ranking mechanism. MetaSeek selects and queries the target image search engines according to their success under similar query conditions in previous searches. The current implementation keeps track...Show More