ADMRG @ MediaEval 2013 Social Event Detection
نویسندگان
چکیده
This paper elaborates the approach used by the Applied Data Mining Research Group (ADMRG) for the Social Event Detection (SED) Tasks of the 2013 MediaEval Benchmark. We participated in the semi-supervised clustering task as well as the classification of social events task. The constrained clustering algorithm is utilized in the semi-supervised clustering task. Several machine learning classifiers with Latent Dirichlet Allocation as feature selector are utilized in the event classification task. Results of the first task show the effectiveness of the proposed method. Results from task 2 indicate that attention on the imbalance categories distributions is needed.
منابع مشابه
SAIVT-ADMRG @ MediaEval 2014 Social Event Detection
This paper outlines the approach taken by the Speech, Audio, Image and Video Technologies laboratory, and the Applied Data Mining Research Group (SAIVT-ADMRG) in the 2014 MediaEval Social Event Detection (SED) task. We participated in the event based clustering subtask (subtask 1), and focused on investigating the incorporation of image features as another source of data to aid clustering. In p...
متن کاملMediaEval 2013: Social Event Detection, Retrieval and Classification in Collaborative Photo Collections
We present a framework to detect social events, retrieve associated photos and classify the photos according to event types in collaborative photo collections as part of the MediaEval 2013 benchmarks. We incorporate various contextual cues using both a constraint-based clustering model and a classification model. Experiments based on the MediaEval Social Event Detection Dataset demonstrate the ...
متن کاملVIT@MediaEval 2013 Social Event Detection Task: Semantic Structuring of Complementary Information for Clustering Events
This paper describes our participation in Social Detection Task@ MediaEval 2013, which involves the detection of social events with associated images in collaboratively annotated by online users. Two tasks are pursued: (i) cluster all images into events in a way that they belong together; (ii) classify the images based on event type. For this we have developed a framework for semantically struc...
متن کاملUPC at MediaEval 2013 Social Event Detection Task
These working notes present the contribution of the UPC team to the Social Event Detection (SED) task in MediaEval 2013. The proposal extends the previous PhotoTOC work in the domain of shared collections of photographs stored in cloud services. An initial over-segmentation of the photo collection is later refined by merging pairs of similar clusters.
متن کاملCERTH @ MediaEval 2013 Social Event Detection Task
This paper describes the participation of CERTH in the Social Event Detection Task of MediaEval 2013. For Challenge 1, we used the concept of same event model to construct a graph of items, in which dense sub-graphs correspond to event clusters. The F1 score and NMI for our best run are 0.7041 and 0.9131, respectively. For Challenge 2, we used an efficient manifold learning method to assign ima...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013