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—We study the problem of predicting home locations of Twitter users using contents of their tweet messages. Using three probability models for locations, we compare both the Gaussian Mixture Model (GMM) and the Maximum Likelihood Estimation (MLE). In addition, we propose two novel unsu-pervised methods based on the notions of Non-Localness and(More)
In this paper, we propose new graph-based data structure and indexing to organize and retrieve video data. Several researches have shown that a graph can be a better candidate for modeling semantically rich and complicated multimedia data. However, there are few methods that consider the temporal feature of video data, which is a distinguishable and(More)
Colonoscopy is the accepted screening method for detection of colorectal cancer or its precursor lesions, colorectal polyps. Indeed, colonoscopy has contributed to a decline in the number of colorectal cancer related deaths. However, not all cancers or large polyps are detected at the time of colonoscopy, and methods to investigate why this occurs are(More)
Wireless Capsule Endoscopy (WCE) allows a physician to examine the entire small intestine without any surgical operation. With the miniaturization of wireless and camera technologies the ability comes to view the entire gestational track with little effort. Although WCE is a technical break-through that allows us to access the entire intestine without(More)
Advances in video technology allow inspection, diagnosis and treatment of the inside of the human body without or with very small scars. Flexible endoscopes are used to inspect the esophagus, stomach, small bowel, colon, and airways, whereas rigid endoscopes are used for a variety of minimal invasive surgeries (i.e., laparoscopy, arthroscopy, endoscopic(More)
Sites to share user-created video clips such as YouTube and Yahoo Video have become greatly popular in recent years. One of the challenges of such sites is, however, to prevent video clips that violate copyrights by illegally copying and editing scenes from other videos. Due to the sheer number of clips uploaded every day, automatic methods to detect(More)
We extend our previous work [1] of the general framework for video data mining to further address the issue such as how to mine video data, in other words, how to extract previously unknown knowledge and detect interesting patterns. In our previous work, we have developed how to segment the incoming raw video stream into meaningful pieces, and how to(More)
In this paper, we present scenario based dynamic video abstractions using graph matching. Our approach has two main components: multi-level scenario generations and dynamic video abstractions. Multi-level scenarios are generated by a graph-based video segmentation and a hierarchy of the segments. Dynamic video abstractions are accomplished by accessing the(More)
Finding near-duplicate images is a task often found in Mul-timedia Information Retrieval (MIR). Toward this effort, we propose a novel idea by bridging two seemingly unrelated fields – MIR and Biology. That is, we propose to use the popular gene sequence alignment algorithm in Biology, i.e., BLAST, in detecting near-duplicate images. Under the new idea, we(More)
We extend our previous work [1] of the general framework for video data mining to further address the issue such as how to mine video data. To extract motions, we use an accumulation of quantized pixel differences among all frames in a video segment. As a result, the accumulated motions of segment are represented as a two dimensional matrix. Further, we(More)