This research utilizes embedded videotexts to achieve an intelligent multimedia display. We design a videotext in picture (TiP) display system which can extract the videotexts in the subchannel and then combine these videotexts with the main channel. This system was constructed on a dual-core platform to reach real-time videotext extraction and display. A schedulable design framework was proposed to partition the TiP display with videotext extraction in pipeline running. A data-aware transfer scheme was designed in which some data can be reused. Single instruction multiple data (SIMD) based mechanisms were created to enhance the computational efficiency on numerous convolutions and accumulations in videotext extraction. Quadruple buffering was manipulated to process the input/output in videotext extraction simultaneously. To optimize the labeling and filling tasks, the multi-banking and multi-tasking were developed. The evaluation results indicated that the proposed techniques can speed up the processing time of TiP display with videotext extraction. The equivalent comparison presented that the proposed techniques are more proficient at realizing videotext extraction(1).