Media Fragments Indexing using Social Media

With more and more video resources shared on the Web, the practice of sharing a video object from a certain time point (deep-linking) has been implemented by many video sharing platforms. With so many media fragments created, annotated and shared, however, indexing video objects on a fine-grained level on the Web scale is still not implemented by major search engines. To solve this problem, this paper proposes Twitter Media Fragment Indexer, which monitors the Tweet text and uses the embedded URLs pointing to video fragments as the media to create index for media fragments. In this paper, we show a preliminary evaluation that thousands of media fragments can be successfully indexed using this system. We are planning to expand the indexer in a larger scale and prove that millions of media fragments can be indexed by major search engines in this way.