[PDF] Top 20 Semantic Context Detection Using Audio Event Fusion

... each audio event, 100 short au- dio clips, each with length 3–10 seconds, are selected from the SoundIdeas sound e ff ects library as the training ...training audio streams are seg- mented into ... See full document

... the context information can be used in the automatic sound event detection process, and how the detection system can benefit from such ...are using context information to make ... See full document

... with audio-visual and semantic saliency, audio-visual events and actions, cross-media relations as well as emotion ...of event detection and summarization algo- rithms, as well as for ... See full document

... the audio information proces- sing ...the audio signal have also been used for HMM-based audio analysis (like standard deviation of zero crossing rate [12], pitch period [38], short-time energy [39], ... See full document

... Smiling and laughter often occurs together, and seem to be different forms of the same event. Laughter often shows a facial expression similar to smiling combined with an invol- untarily exhalation, sometimes ... See full document

... A context-wise descriptor is another type of descriptor that is used to capture contextual information and plays a key role in the process of discovering salient ...motion context and appearance ... See full document

... Currently our technology allows us to generate “semantic fingerprints” which enable suggestions as to where the currently edited article would fit in either an existing storyline or recommend a new one based on ... See full document

... Social Semantic Journalism, introduced by Heravi et ...Social Semantic Journalism framework (Heravi and McGinnis, 2013) utilises the social and semantic web technologies, and provides an integrated ... See full document

... of semantic information in the video data is difficult in the field of machine ...video event detection involves the shooting of the surveillance video, and the detection and conversion to the ... See full document

... Acoustic event detection (AED) aims at determining the identity of sounds and their temporal position in audio ...on audio information shows a large amount of errors, which are mostly due to ... See full document

... In sound localization, the number of sources, N , is re- quired as indicated in (2). In the experiment shown in Section 5, the value of N was fixed to N = 3. Obviously, this was not always correct. For example, when the ... See full document

... handled using discriminate ...abnormality detection in video sequences has recently gained an increasing attention within the research ...by using multiple features and cascade classifiers, yet ... See full document

... Whether using image or optical flow features, the LSTM model has two stages, an ‘encoding’ stage where the LSTM learns the feature vectors by creating a linear feature representation and a ‘decoding’ stage where ... See full document

... for Event Detection fo- cus on Deep Learning for automatic fea- ture generation and feature ...rich semantic information, which re- sults in relatively poor ...an Event Detection and ... See full document

... digital audio recording is characterized by two factors namely sampling and ...of audio recording but the space used for storing the audio files becomes ... See full document

... and audio streams ...transcripts detection can improve the accuracy and it also use to generate the textual indices for users to query the video events ...In audio streams the speech recognition of ... See full document

... tification in conduct slash-and-burn agricul- ture → exacerbate desertification for instance and consist of CEA-, Wikipedia-, definition-, and web- based features. CEA-based features are based on the Cause Effect ... See full document

... segmentation[18].Benzeghiba, M., De Mori, R., Deroo, O., Dupont, S., Erbes, T., Jouvet, D., & Rose, R. [19] Their paper gathers important references to literature related to the endogenous variations of the speech ... See full document

... In our simulations, we tested both the repeated random sub-sampling validation (RHO) and leave-one-out cross validation (LOO) methods. In the case of RHO validation method, one-third of the total dataset is randomly ... See full document

... Indeed, novel approaches and algorithms using Unmanned Aerial Vehicle (UAV) or satellite based multispectral imaging have been developed for vegeta- tion classification [3]. But, the acquisition of UAV images or ... See full document