Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 6 of 6 for “"content identification"”.
-
Regularized Adaboost for RGBD video content identification
… analysis to a recently developed learning-based content identification (ID) algorithm, symmetric pairwise boosting (SPB). Second, we propose a regularized Adaboost algorithm, which tackles SPB’s implicit assumption that video segments are statistically independent. Finally, we develop the first …
-
Digital audio watermarking for broadcast monitoring and content identification
… of their work by others. With regard to modern content owners, Digital Rights Management (DRM) issues have become very important since the advent of the Internet. Piracy, or illegal copying, costs content owners billions of dollars every year. DRM is just one tool that can assist content owners …
-
Robust Content Identification and De-Duplication with Scalable Fisher Vector In video with Temporal Sampling
Robust content identification and de-duplication of video content in networks and caches have many important applications in content delivery networks. In this work, we propose a scalable hashing scheme based Fisher Vector aggregation of selected key point features, and a frame significance …
-
Bloom Filters for Filesystem Forensics
… using Bloom filters to allow fine-grained content identification to detect similarity, instead of equality. We also provide a method to compare filters directly and a statistical means of interpreting the results. We developed a tool--md5bloom--that uses Bloom filters for standard queries …
-
Peer editing in composition for multilingual writers at the college level
… included practice with reading to understand content, identification and correction of errors, and a reflective journal on the process with the benefits and challenges. Students had both cultural similarities essays and argumentative essays to use for this activity. A mixed methods approach …
-
Learning compact hashing codes for large-scale similarity search
… binary hash codes (fingerprints) of time-varying content by filtering and quantizing perceptually significant features. The proposed algorithm extends the recent symmetric pairwise boosting (SPB) algorithm by taking feature sequence correlation into account. An information-theoretic analysis of …